- ECCV 2024 (Oct, decisions early Jul)
- KDD 2024 (Aug, decisions mid May)
- ACL 2024 (Aug, decisions mid May)
- ICML 2024 (Jul, decisions early May)
- IJCAI 2024 (Aug, decisions mid Apr)
- NAACL 2024 (Jun)
- Graph Neural Networks for Learning Equivariant Representations of Neural Networks
- GraphGuard: Provably Robust Graph Classification against Adversarial Attacks
- Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
- PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters
- Improving Generalization in Equivariant Graph Neural Networks with Physical Inductive Biases
- Online GNN Evaluation Under Test-time Graph Distribution Shifts
- Graph Metanetworks for Processing Diverse Neural Architectures
- Hybrid Directional Graph Neural Network for Molecules
- GTMGC: Using Graph Transformer to Predict Molecule\textquoterights Ground-State Conformation
- Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
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- One For All: Towards Training One Graph Model For All Classification Tasks
- InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior
- MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy
- Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
- HiGen: Hierarchical Graph Generative Networks
- Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing
- From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
- LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
- DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption
- Scalable and Effective Implicit Graph Neural Networks on Large Graphs
- CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
- Graph Parsing Networks
- Boosting Graph Anomaly Detection with Adaptive Message Passing
- Long-Short-Range Message-Passing: A Fragmentation-Based Framework to Capture Non-Local Atomistic Interactions
- Locality-Aware Graph Rewiring in GNNs
- Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
- Transformers vs. Message Passing GNNs: Distinguished in Uniform
- Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network
- VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
- InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
- Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
- Rethinking and Extending the Probabilistic Inference Capacity of GNNs
- Learning From Simplicial Data Based on Random Walks and 1D Convolutions
- G$\textasciicircum2$N$\textasciicircum2$ : Weisfeiler and Lehman go grammatical
- On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
- Efficient Subgraph GNNs by Learning Effective Selection Policies
- Effective Structural Encodings via Local Curvature Profiles
- Understanding Expressivity of Neural KG Reasoning from Rule Structure Learning
- Probabilistically Rewired Message-Passing Neural Networks
- Counting Graph Substructures with Graph Neural Networks
- On the Stability of Expressive Positional Encodings for Graph Neural Networks
- Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
- Entropy Coding of Unordered Data Structures
- GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks
- Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model
- Graph Lottery Ticket Automated
- GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
- Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
- REFACTOR: Learning to Extract Theorems from Proofs
- GOAt: Explaining Graph Neural Networks via Graph Output Attribution
- UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
- Conformal Inductive Graph Neural Networks
- Mixture of Weak and Strong Experts on Graphs
- Matrix Manifold Neural Networks++
- GnnX-Bench: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
- Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
- Deceptive Fairness Attacks on Graphs via Meta Learning
- Aligning Relational Learning with Lipschitz Fairness
- TASK PLANNING FOR VISUAL ROOM REARRANGEMENT UNDER PARTIAL OBSERVABILITY
- Structural Fairness-aware Active Learning for Graph Neural Networks
- Pose Modulated Avatars from Video
- Adversarial Attacks on Fairness of Graph Neural Networks
- Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
- Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.
- Deep Temporal Graph Clustering
- VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition
- Graph Transformers on EHRs: Better Representation Improves Downstream Performance
- Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
- A Generative Pre-Training Framework for Spatio-Temporal Graph Transfer Learning
- Temporal Generalization Estimation in Evolving Graphs
- Graphpulse: Topological representations for temporal graph property prediction
- PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks
- NP-GL: Extending Power of Nature from Binary Problems to Real-World Graph Learning
- TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
- Decoding Natural Images from EEG for Object Recognition
- Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
- Self-supervised Heterogeneous Graph Learning: a Homogeneity and Heterogeneity Perspective
- HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
- $\textbackslashmathbb\D\textasciicircum2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning
- Multimodal Patient Representation Learning with Missing Modalities and Labels
- StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
- A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
- Learning Scalar Fields for Molecular Docking with Fast Fourier Transforms
- Graph Generation with $K\textasciicircum2$-trees
- Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
- Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
- Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
- A Simple and Scalable Representation for Graph Generation
- Stochastic Gradient Descent for Gaussian Processes Done Right
- Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
- Removing Biases from Molecular Representations via Information Maximization
- From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
- Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation
- Learning to design protein-protein interactions with enhanced generalization
- Evaluating Representation Learning on the Protein Structure Universe
- Generative Adversarial Policy Network for Modelling Protein Complexes
- KW-Design: Pushing the Limit of Protein Deign via Knowledge Refinement
- Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
- De novo Protein Design Using Geometric Vector Field Networks
- Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
- Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
- Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding
- Long-range Neural Atom Learning for Molecular Graphs
- Complete and Efficient Graph Transformers for Crystal Material Property Prediction
- On the hardness of learning under symmetries
- Orbit-Equivariant Graph Neural Networks
- Fast, Expressive $\textbackslashmathrm\SE(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space
- A Characterization Theorem for Equivariant Networks with Point-wise Activations
- EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
- SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
- Equivariant Matrix Function Neural Networks
- Clifford Group Equivariant Simplicial Message Passing Networks
- Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
- Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
- Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
- Mitigating Severe Robustness Degradation on Graphs
- iGraphMix: Input Graph Mixup Method for Node Classification
- Robust Angular Synchronization via Directed Graph Neural Networks
- Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective
- Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
- Towards Foundation Models for Knowledge Graph Reasoning
- GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
- MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design
- Local Graph Clustering with Noisy Labels
- Hypergraph Dynamic System
- Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning
- The Optimal Constant Solution: Predictable Extrapolation in Deep Neural Networks
- Amortized Network Intervention to Steer the Excitatory Point Processes
- Space and time continuous physics simulation from partial observations
- Learning 3D Particle-based Simulators from RGB-D Videos
- AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
- Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics
- BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics
- Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
- Q-TAPE: A Task-Agnostic Pre-Trained Approach for Quantum Properties Estimation
- Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
- Training Graph Transformers via Curriculum-Enhanced Attention Distillation
- Mirage: Model-agnostic Graph Distillation for Graph Classification
- VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
- TEDDY: Trimming Edges with Degree-based Graph Diffusion Strategy
- LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
- Label-free Node Classification on Graphs with Large Language Models (LLMs)
- Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
- Learning Multi-Agent Communication from Graph Modeling Perspective
- Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach
- A Stochastic Centering Framework for Improving Calibration in Graph Neural Networks
- Uncertainty-aware Graph-based Hyperspectral Image Classification
- ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter
- Neural Common Neighbor with Completion for Link Prediction
- NetInfoF Framework: Measuring and Exploiting Network Usable Information
- Revisiting Link Prediction: a data perspective
- A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
- Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
- Better Neural PDE Solvers Through Data-Free Mesh Movers
- BENO: Boundary-embedded Neural Operators for Elliptic PDEs
- Combining Axes Preconditioners through Kronecker Approximation for Deep Learning
- SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
- HoloNets: Spectral Convolutions do extend to Directed Graphs
- PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation
- Forward Learning of Graph Neural Networks
- VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
- Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
- Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
- Simplicial Representation Learning with Neural $k$-Forms
- FedWon: Triumphing Multi-domain Federated Learning Without Normalization
- Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
- NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks
- Partitioning Message Passing for Graph Fraud Detection
- Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
- LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection
- Professional Network Matters: Connections Empower Person-Job Fit
- DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting
- PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation
- User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation
- Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder
- DiffKG: Knowledge Graph Diffusion Model for Recommendation
- Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation
- MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation
- C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement
more
- Text-Video Retrieval via Multi-Modal Hypergraph Networks
- Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation
- Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning
- Knowledge Graph Context-Enhanced Diversified Recommendation
- Generative Models for Complex Logical Reasoning over Knowledge Graphs
- MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation
- Source Free Graph Unsupervised Domain Adaptation
- SSLRec: A Self-Supervised Learning Framework for Recommendation
- GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
- ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees
- Rethinking and Simplifying Bootstrapped Graph Latents
- Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function
- Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
- Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
- LLMRec: Large Language Models with Graph Augmentation for Recommendation
- Neural Kalman Filtering for Robust Temporal Recommendation
- Towards Alignment-Uniformity Aware Representation in Graph Contrastive Learning
- Unified Pretraining for Recommendation via Task Hypergraphs
- PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization
- Maximizing Malicious Influence in Node Injection Attack
- Interpretable Imitation Learning with Dynamic Causal Relations
- RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis
- CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting
- Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices
- The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation
- Dance with Labels: Dual-Heterogeneous Label Graph Interaction for Multi-intent Spoken Language Understanding
- SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
- NodeMixup: Tackling Under-Reaching for Graph Neural Networks
- WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets
- Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition
- Graph of Thoughts: Solving Elaborate Problems with Large Language Models
- Towards Effective and General Graph Unlearning via Mutual Evolution
- Cell Graph Transformer for Nuclei Classification
- Deep Contrastive Graph Learning with Clustering-Oriented Guidance
- SpaceGTN: A Time-Agnostic Graph Transformer Network for Handwritten Diagram Recognition and Segmentation
- Provably Powerful Graph Neural Networks for Directed Multigraphs
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- StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting
- Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning
- A Graph Dynamics Prior for Relational Inference
- LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation
- Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
- ResMatch: Residual Attention Learning for Feature Matching
- Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
- Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
- Span Graph Transformer for Document-Level Named Entity Recognition
- Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
- Coreference Graph Guidance for Mind-Map Generation
- HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning
- A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
- Spectral-Based Graph Neural Networks for Complementary Item Recommendation
- SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network
- Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning
- TREE-G: Decision Trees Contesting Graph Neural Networks
- Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
- Deep Incomplete Multi-View Learning Network with Insufficient Label Information
- Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering
- GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
- Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
- Factorized Explainer for Graph Neural Networks
- CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph
- Graph Contrastive Invariant Learning from the Causal Perspective
- GLDL: Graph Label Distribution Learning
- MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships
- A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning
- Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction
- Graph Neural Networks with Soft Association between Topology and Attribute
- Object Attribute Matters in Visual Question Answering
- High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification
- Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search
- Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
- GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
- LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
- FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
- Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
- Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
- Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics
- HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning
- Commonsense for Zero-Shot Natural Language Video Localization
- PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering
- Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling
- Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder
- X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured Cross-Modal Graph Neural Networks
- Learning to Approximate Adaptive Kernel Convolution on Graphs
- SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering
- Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective
- Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts
- ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction
- BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining
- Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity
- Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum
- DAG-Aware Variational Autoencoder for Social Propagation Graph Generation
- Learning to Pivot as a Smart Expert
- MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug--Drug Interaction Prediction
- Poincar'e Differential Privacy for Hierarchy-Aware Graph Embedding
- Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
- Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck
- Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic
- Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning
- AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs
- Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction
- Gramformer: Learning Crowd Counting via Graph-Modulated Transformer
- MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs
- PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
- A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction
- Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
- Complete Neural Networks for Complete Euclidean Graphs
- Rethinking Causal Relationships Learning in Graph Neural Networks
- Question Calibration and Multi-Hop Modeling for Temporal Question Answering
- TopoGCL: Topological Graph Contrastive Learning
- Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
- Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks
- Dynamic Reactive Spiking Graph Neural Network
- Neural Reasoning about Agents' Goals, Preferences, and Actions
- Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph
- Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion
- DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
- A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks
- Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series
- Improved Graph Contrastive Learning for Short Text Classification
- TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis
- Dynamic Spiking Graph Neural Networks
- GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking
- Multimodal Graph Neural Architecture Search under Distribution Shifts
- Graph-Aware Contrasting for Multivariate Time-Series Classification
- SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks
- Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
- DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph
- DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems
- ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network
- p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
- Self-Interpretable Graph Learning with Sufficient and Necessary Explanations
- Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks
- Label Attentive Distillation for GNN-Based Graph Classification
- G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks
- Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance
- Rethinking Propagation for Unsupervised Graph Domain Adaptation
- Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting
- Structural Entropy Based Graph Structure Learning for Node Classification
- A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning
- Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer
- A Generalized Neural Diffusion Framework on Graphs
- No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
- CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series
- Open-Set Graph Domain Adaptation via Separate Domain Alignment
- SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation
- ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting
- R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion
- Barely Supervised Learning for Graph-Based Fraud Detection
- DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
- DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning
- Feature Transportation Improves Graph Neural Networks
- Attribute-Missing Graph Clustering Network
- Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking
- Learning to Reweight for Generalizable Graph Neural Network
- Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy
- Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers
- Continuous-Time Graph Representation with Sequential Survival Process
- Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification
- HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors
- Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
- Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation
- Expressive Multi-Agent Communication via Identity-Aware Learning
- Dependency Structure-Enhanced Graph Attention Networks for Event Detection
- Improving Distinguishability of Class for Graph Neural Networks
- Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering
- Data Augmented Graph Neural Networks for Personality Detection
- Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
- Kumaraswamy Wavelet for Heterophilic Scene Graph Generation
- Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
- Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion
- GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
- Spatial-Semantic Collaborative Cropping for User Generated Content
- ReGCL: Rethinking Message Passing in Graph Contrastive Learning
- Graph Neural Prompting with Large Language Models
- MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
- Stratified GNN Explanations through Sufficient Expansion
- KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
- Robust Node Classification on Graph Data with Graph and Label Noise
- Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection
- You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification
- LGMRec: Local and Global Graph Learning for Multimodal Recommendation
- Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations
- Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns
- MGNet: Learning Correspondences via Multiple Graphs
- Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
- KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding
- MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting
- Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
- Learning Domain-Independent Heuristics for Grounded and Lifted Planning
- Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs
- Graph Context Transformation Learning for Progressive Correspondence Pruning
- Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought
- Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation
- Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
- Towards Fair Graph Federated Learning via Incentive Mechanisms
- Residual Hyperbolic Graph Convolution Networks
- Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
- A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation
- Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
- Improving GNN Calibration with Discriminative Ability: Insights and Strategies
- Sterling: Synergistic Representation Learning on Bipartite Graphs
- Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
- Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
- DOGE-Train: Discrete Optimization on GPU with End-to-End Training
- Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds
- Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning
- Structural Information Enhanced Graph Representation for Link Prediction
- Adaptive Graph Learning for Multimodal Conversational Emotion Detection
- Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition
- Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs
- Rethinking Graph Masked Autoencoders through Alignment and Uniformity
- A Goal Interaction Graph Planning Framework for Conversational Recommendation
- LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement
- ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
- COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
- G^2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection
- Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification
- Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification
- Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion
- Temporal Graph Contrastive Learning for Sequential Recommendation
- Graph Reasoning Transformers for Knowledge-Aware Question Answering
- Hyperbolic Graph Diffusion Model
- Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration
- PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
- GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
- Patch-Wise Graph Contrastive Learning for Image Translation
- A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs
- An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs
- An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction
- ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
- KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding
- Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching
- Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation
- Union Subgraph Neural Networks
- A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
- Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
- Hypergraph Neural Architecture Search
- Federated Graph Learning under Domain Shift with Generalizable Prototypes
- Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation
- Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
- Provable Training for Graph Contrastive Learning
- No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning
- Demystifying Oversmoothing in Attention-Based Graph Neural Networks
- DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
- Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
- Equivariant Neural Operator Learning with Graphon Convolution
- NewtonCotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
- Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
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- PRODIGY: Enabling In-context Learning Over Graphs
- Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem
- HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
- Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets
- Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
- Graph Contrastive Learning with Stable and Scalable Spectral Encoding
- LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
- PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis
- Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs
- Learning Large Graph Property Prediction via Graph Segment Training
- Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
- A Computationally Efficient Sparsified Online Newton Method
- PlanE: Representation Learning over Planar Graphs
- Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications
- LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings
- Energy Transformer
- Efficient Learning of Linear Graph Neural Networks via Node Subsampling
- Fitting trees to $\ell_1$-hyperbolic distances
- Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
- Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily
- Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
- From Trainable Negative Depth to Edge Heterophily in Graphs
- When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability
- A Fractional Graph Laplacian Approach to Oversmoothing
- Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion
- Tailoring Self-Attention for Graph via Rooted Subtrees
- Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
- MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy
- TopoSRL: Topology preserving self-supervised Simplicial Representation Learning
- Fragment-based Pretraining and Finetuning on Molecular Graphs
- NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning
- SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
- Transformers over Directed Acyclic Graphs
- Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding
- Geometric Transformer with Interatomic Positional Encoding
- On Separate Normalization in Self-supervised Transformers
- Efficiently incorporating quintuple interactions into geometric deep learning force fields
- On the Ability of Graph Neural Networks to Model Interactions Between Vertices
- Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
- MAG-GNN: Reinforcement Learning Boosted Graph Neural Network
- Diffusion Probabilistic Models for Structured Node Classification
- What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
- Fine-grained Expressivity of Graph Neural Networks
- Graph Convolutional Kernel Machine versus Graph Convolutional Networks
- Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes
- Are GATs Out of Balance?
- Affinity-Aware Graph Networks
- Is Distance Matrix Enough for Geometric Deep Learning?
- Expressivity-Preserving GNN Simulation
- Going beyond persistent homology using persistent homology
- Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
- Three Iterations of (d 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points
- Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power
- The expressive power of pooling in Graph Neural Networks
- FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
- Approximately Equivariant Graph Networks
- A new perspective on building efficient and expressive 3D equivariant graph neural networks
- Latent Field Discovery in Interacting Dynamical Systems with Neural Fields
- Expressive Sign Equivariant Networks for Spectral Geometric Learning
- Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model
- Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
- D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion
- Interpretable Prototype-based Graph Information Bottleneck
- TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery
- SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations
- Interpretable Graph Networks Formulate Universal Algebra Conjectures
- Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance
- V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
- Fair Graph Distillation
- Optimality of Message-Passing Architectures for Sparse Graphs
- Towards Self-Interpretable Graph-Level Anomaly Detection
- Sheaf Hypergraph Networks
- CAT-Walk: Inductive Hypergraph Learning via Set Walks
- Towards Better Dynamic Graph Learning: New Architecture and Unified Library
- Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
- Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
- CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement
- Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels
- Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
- Taming Local Effects in Graph-based Spatiotemporal Forecasting
- Recurrent Temporal Revision Graph Networks
- Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
- SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
- GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
- AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity
- Operator Learning with Neural Fields: Tackling PDEs on General Geometries
- Geometry-Informed Neural Operator for Large-Scale 3D PDEs
- Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network
- LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
- GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
- Self-supervised Graph Neural Networks via Low-Rank Decomposition
- Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision
- ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy
- MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data
- GALOPA: Graph Transport Learning with Optimal Plan Alignment
- Improving Self-supervised Molecular Representation Learning using Persistent Homology
- Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning
- Understanding Contrastive Learning via Distributionally Robust Optimization
- An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations
- GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising
- GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
- Prefix-Tree Decoding for Predicting Mass Spectra from Molecules
- Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
- Learning to Group Auxiliary Datasets for Molecule
- Accelerating Molecular Graph Neural Networks via Knowledge Distillation
- Transfer learning for atomistic simulations using GNNs and kernel mean embeddings
- Optimizing over trained GNNs via symmetry breaking
- A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design
- Graph Denoising Diffusion for Inverse Protein Folding
- Graph-Structured Gaussian Processes for Transferable Graph Learning
- Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum
- Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
- Limits, approximation and size transferability for GNNs on sparse graphs via graphops
- Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes
- Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
- Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
- Improving Compositional Generalization using Iterated Learning and Simplicial Embeddings
- A graphon-signal analysis of graph neural networks
- Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift
- Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
- Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
- Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
- Certifiably Robust Graph Contrastive Learning
- Hierarchical Randomized Smoothing
- Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning
- Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
- Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs
- Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion
- NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
- WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding
- GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
- Can Language Models Solve Graph Problems in Natural Language?
- EvoPrompting: Language Models for Code-Level Neural Architecture Search
- Directional diffusion models for graph representation learning
- Data-Centric Learning from Unlabeled Graphs with Diffusion Model
- Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
- Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks
- Circuit as Set of Points
- SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network
- MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability
- Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
- Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
- Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
- Universal Prompt Tuning for Graph Neural Networks
- FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
- Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks
- Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning
- Swarm Reinforcement Learning for Adaptive Mesh Refinement
- Unsupervised Learning for Solving the Travelling Salesman Problem
- Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement
- GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
- Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization
- Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
- Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
- Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference
- Combating Bilateral Edge Noise for Robust Link Prediction
- A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
- Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
- Deep Insights into Noisy Pseudo Labeling on Graph Data
- Curvature Filtrations for Graph Generative Model Evaluation
- Neural Graph Generation from Graph Statistics
- Graph of Circuits with GNN for Exploring the Optimal Design Space
- Lovász Principle for Unsupervised Graph Representation Learning
- Model-Based Control with Sparse Neural Dynamics
- ARTree: A Deep Autoregressive Model for Phylogenetic Inference
- Towards Label Position Bias in Graph Neural Networks
- Maximum Independent Set: Self-Training through Dynamic Programming
- On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
- GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search
- What Planning Problems Can A Relational Neural Network Solve?
- Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy
- Language Semantic Graph Guided Data-Efficient Learning
- RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy
- Generalised f-Mean Aggregation for Graph Neural Networks
- Learning To Dive In Branch And Bound
- Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
- A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks
- A Metadata-Driven Approach to Understand Graph Neural Networks
- Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures
- Zero-One Laws of Graph Neural Networks
- Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach
- High dimensional, tabular deep learning with an auxiliary knowledge graph
- Reversible and irreversible bracket-based dynamics for deep graph neural networks
- Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
- Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman
- Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
- CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation
- Simple and Asymmetric Graph Contrastive Learning without Augmentations
- NAP: Neural 3D Articulated Object Prior
- Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection
- Graph Self-Contrast Representation Learning
- FM-IGNN: Interaction Graph Neural Network with Fine-grained Matching for Session-based Recommendation
- Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification
- Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift
- Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding
- Federated Learning for Privacy-Preserving Prediction of Occupational Group Mobility Using Multi-Source Mobile Data
- Hypergraph Attribute Attention Network for Community Recommendation
- Interpretable Subgraph Feature Extraction for Hyperlink Prediction
- Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs
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- Auto Graph Filtering for Bundle Recommendation
- GMMDA: Gaussian Mixture Modeling of Graph in Latent Space for Graph Data Augmentation
- MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale
- Efficient and Effective Entity Alignment for Evolving Temporal Knowledge Graphs
- Telecom Fraud Detection Based on Feature Binning and Autoencoder
- IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting
- Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio
- Graph Sampling based Fairness-aware Recommendation over Sensitive Attribute Removal
- Variational Collective Graph AutoEncoder for Multi-behavior Recommendation
- PKAT: Pre-training in Collaborative Knowledge Graph Attention Network for Recommendation
- Meteorology-Assisted Spatio-Temporal Graph Network for Uncivilized Urban Event Prediction
- Robust Network Alignment with the Combination of Structure and Attribute Embeddings
- MCRec: Multi-channel Gated Gifts Recommendation
- DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing
- Limitations of Perturbation-based Explanation Methods for Temporal Graph Neural Networks
- Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples
- Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation
- Context Sketching for Memory-efficient Graph Representation Learning
- Infinitely Deep Graph Transformation Networks
- IKGN: Intention-aware Knowledge Graph Network for POI Recommendation
- Toward Interpretable Graph Neural Networks via Concept Matching Model
- Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation
- Equipping Federated Graph Neural Networks with Structure-aware Group Fairness
- Entropy Aware Training for Fast and Accurate Distributed GNN
- Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing
- RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph
- Multi-Hop Correlation Preserving Hashing for Efficient Hamming Space Retrieval
- Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification
- Decision-focused Graph Neural Networks for Graph Learning and Optimization
- CaT: Balanced Continual Graph Learning with Graph Condensation
- Hypergraph Contrastive Learning for Drug Trafficking Community Detection
- Uncertainty-aware Traffic Prediction under Missing Data
- PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph
- A Graph Convolutional Neural Network for Recommendation Based on Community Detection and Combination of Multiple Heterogeneous Graphs
- Rethinking Temporal Dependencies in Multiple Time Series: A Use Case in Financial Data
- PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
- Two-Level Graph Representation Learning with Community-as-a-Node Graphs
- On the Verification of Embeddings with Hybrid Markov Logic
- Early Spatiotemporal Event Prediction via Adaptive Controller and Spatiotemporal Embedding
- MTT-DynGL: Towards Multidimensional Topology-oriented Time-series Dynamic Graphs Learning Model
- Session-based Interactive Recommendation via Deep Reinforcement Learning
- Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation
- Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression
- To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data
- Graph Collaborative Optimization for Sequential Recommendation
- Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering
- Graph Reciprocal Neural Networks by Abstracting Node as Attribute
- Graph Open-Set Recognition via Entropy Message Passing
- Homogeneous Entity Context Enhanced Representation Network for Temporal Knowledge Graph Reasoning
- Spatio-Temporal Hypergraph Neural ODE Network for Traffic Forecasting
- Contrastive Learning-based Multi-behavior Recommendation with Semantic Knowledge Enhancement
- Dimensionality and Curvature Selection of Graph Embedding using Decomposed Normalized Maximum Likelihood Code-Length
- Enhancing GNN-based Fraud Detector via Semantic Extraction and Max-Representation-Margin
- Unfairness in Distributed Graph Frameworks
- STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic Forecasting
- Improving Image Captioning via Predicting Structured Concepts
- Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph
- ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph
- MingOfficial: A Ming Official Career Dataset and a Historical Context-Aware Representation Learning Framework
- Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network
- Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks
- MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation
- Conversational Semantic Parsing using Dynamic Context Graphs
- Learning Co-Speech Gesture for Multimodal Aphasia Type Detection
- Beyond Detection: A Defend-and-Summarize Strategy for Robust and Interpretable Rumor Analysis on Social Media
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- Characterizing and Verifying Scientific Claims: Qualitative Causal Structure is All You Need
- Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction
- Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks
- Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting
- Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
- Knowledge Graph Compression Enhances Diverse Commonsense Generation
- Standardizing Distress Analysis: Emotion-Driven Distress Identification and Cause Extraction (DICE) in Multimodal Online Posts
- Rumor Detection on Social Media with Crowd Intelligence and ChatGPT-Assisted Networks
- Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks
- Transfer-Free Data-Efficient Multilingual Slot Labeling
- CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network
- Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation
- Enhancing Structured Evidence Extraction for Fact Verification
- Content- and Topology-Aware Representation Learning for Scientific Multi-Literature
- Enhancing Biomedical Lay Summarisation with External Knowledge Graphs
- A Diffusion Weighted Graph Framework for New Intent Discovery
- Structure-aware Knowledge Graph-to-text Generation with Planning Selection and Similarity Distinction
- STINMatch: Semi-Supervised Semantic-Topological Iteration Network for Financial Risk Detection via News Label Diffusion
- Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation
- E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation
- Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs
- Exploring Discourse Structure in Document-level Machine Translation
- Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining
- Distance-Based Propagation for Efficient Knowledge Graph Reasoning
- CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code
- Anaphor Assisted Document-Level Relation Extraction
- MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter
- Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue
- Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimoda Emotion Recognition
- CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning
- Asynchronous Algorithmic Alignment with Cocycles
- Meta-Path Learning for Multi-relational Graph Neural Networks
- On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
- Recursive Algorithmic Reasoning
- Cycle Invariant Positional Encoding for Graph Representation Learning
- MUDiff: Unified Diffusion for Complete Molecule Generation
- HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
- BeMap: Balanced Message Passing for Fair Graph Neural Network
- Generalized Reasoning with Graph Neural Networks by Relational Bayesian Network Encodings
- Rethinking Higher-order Representation Learning with Graph Neural Networks
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- Transferable Hypergraph Neural Networks via Spectral Similarity
- Edge Directionality Improves Learning on Heterophilic Graphs
- SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics
- Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity
- A Simple Latent Variable Model for Graph Learning and Inference
- Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
- Latent Space Representations of Neural Algorithmic Reasoners
- GwAC: GNNs with Asynchronous Communication
- Inferring dynamic regulatory interaction graphs from time series data with perturbations
- Mitigating Over-smoothing and Over-squashing using Augmentations of Forman-Ricci Curvature
- Will More Expressive Graph Neural Networks do Better on Generative Tasks?
- Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets
- Generative modeling of labeled graphs under data scarcity
- United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification under Graph Label Corruption
- GSCAN: Graph Stability Clustering for Applications with Noise using Edge-Aware Excess-of-Mass
- HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched with Attributes and Layers
- PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs
- EMP: Effective Multidimensional Persistence for Graph Representation Learning
- Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
- A Latent Diffusion Model for Protein Structure Generation
- Neural Algorithmic Reasoning for Combinatorial Optimisation
- Parallel Algorithms Align with Neural Execution
- Physics-Augmented Autoencoder for 3D Skeleton-Based Gait Recognition
- DCPB: Deformable Convolution Based on the Poincare Ball for Top-view Fisheye Cameras
- Learning Adaptive Neighborhoods for Graph Neural Networks
- PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label
- MolGrapher: Graph-based Visual Recognition of Chemical Structures
- CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network
- Efficient Deep Space Filling Curve
- End2End Multi-View Feature Matching with Differentiable Pose Optimization
- VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering
- 3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking
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- HandR2N2: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network
- Spectral Graphormer: Spectral Graph-Based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images
- Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition
- Detecting Objects with Context-Likelihood Graphs and Graph Refinement
- SGAligner: 3D Scene Alignment with Scene Graphs
- SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training
- Chasing Clouds: Differentiable Volumetric Rasterisation of Point Clouds as a Highly Efficient and Accurate Loss for Large-Scale Deformable 3D Registration
- Visual Traffic Knowledge Graph Generation from Scene Images
- DMNet: Delaunay Meshing Network for 3D Shape Representation
- HM-ViT: Hetero-Modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer
- CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation
- Scene Graph Contrastive Learning for Embodied Navigation
- Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model
- GlueStick: Robust Image Matching by Sticking Points and Lines Together
- Re:PolyWorld - A Graph Neural Network for Polygonal Scene Parsing
- HopFIR: Hop-wise GraphFormer with Intragroup Joint Refinement for 3D Human Pose Estimation
- MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning
- Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
- Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models
- Face Clustering via Graph Convolutional Networks with Confidence Edges
- ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking
- GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation
- Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition
- DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization
- SkeleTR: Towards Skeleton-based Action Recognition in the Wild
- GPGait: Generalized Pose-based Gait Recognition
- Persistent-Transient Duality: A Multi-Mechanism Approach for Modeling Human-Object Interaction
- GlobalMapper: Arbitrary-Shaped Urban Layout Generation
- FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation
- Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching
- GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video
- Video Action Segmentation via Contextually Refined Temporal Keypoints
- WaterMask: Instance Segmentation for Underwater Imagery
- Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
- Reconstructing Groups of People with Hypergraph Relational Reasoning
- Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction
- VertexSerum: Poisoning Graph Neural Networks for Link Inference
- Vision HGNN: An Image is More than a Graph of Nodes
- Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy
- ReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning
- Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image
- Virtual Try-On with Pose-Garment Keypoints Guided Inpainting
- Narrator: Towards Natural Control of Human-Scene Interaction Generation via Relationship Reasoning
- HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose Forecasting
- ShapeScaffolder: Structure-Aware 3D Shape Generation from Text
- RLSAC: Reinforcement Learning Enhanced Sample Consensus for End-to-End Robust Estimation
- CoSign: Exploring Co-occurrence Signals in Skeleton-based Continuous Sign Language Recognition
- CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering
- SimMatchV2: Semi-Supervised Learning with Graph Consistency
- Normalizing Flows for Human Pose Anomaly Detection
- Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification
- Stability and Generalization of lp-Regularized Stochastic Learning for GCN
- Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning
- Deep Partial Multi-Label Learning with Graph Disambiguation
- Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection
- Graph Propagation Transformer for Graph Representation Learning
- G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
- Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization
- Multi-View Robust Graph Representation Learning for Graph Classification
- Some Might Say All You Need Is Sum
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- Local and Global: Temporal Question Answering via Information Fusion
- SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
- Dual Relation Knowledge Distillation for Object Detection
- KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach
- An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagation
- iRe2f: Rethinking Effective Refinement in Language Structure Prediction via Efficient Iterative Retrospecting and Reasoning
- Hierarchical Transformer for Scalable Graph Learning
- Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction
- SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein–Protein Interaction Prediction
- Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention
- Graph Sampling-based Meta-Learning for Molecular Property Prediction
- LGI-GT: Graph Transformers with Local and Global Operators Interleaving
- Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network
- Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management
- Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation
- Continuous-Time Graph Learning for Cascade Popularity Prediction
- Sequential Attention Source Identification Based on Feature Representation
- Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning
- Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information
- Multi-level Graph Contrastive Prototypical Clustering
- A Generalized Deep Markov Random Fields Framework for Fake News Detection
- Dynamic Group Link Prediction in Continuous-Time Interaction Network
- CADParser: A Learning Approach of Sequence Modeling for B-Rep CAD
- U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation
- Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
- Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction
- Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization
- MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
- Don't Ignore Alienation and Marginalization: Correlating Fraud Detection
- Globally Consistent Federated Graph Autoencoder for Non-IID Graphs
- CSGCL: Community-Strength-Enhanced Graph Contrastive Learning
- Totally Dynamic Hypergraph Neural Networks
- Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting
- A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction
- LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
- Gapformer: Graph Transformer with Graph Pooling for Node Classification
- Intent-aware Recommendation via Disentangled Graph Contrastive Learning
- Self-supervised Graph Disentangled Networks for Review-based Recommendation
- CONGREGATE: Contrastive Graph Clustering in Curvature Spaces
- Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks
- Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
- Learning Object Consistency and Interaction in Image Generation from Scene Graphs
- An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations
- Federated Graph Semantic and Structural Learning
- Disentanglement of Latent Representations via Causal Interventions
- Multi-Scale Subgraph Contrastive Learning
- Graph Neural Convection-Diffusion with Heterophily
- KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
- PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification
- Deep Multi-view Subspace Clustering with Anchor Graph
- One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
- Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem
- Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network
- Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels
- Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs
- Semi-supervised Domain Adaptation in Graph Transfer Learning
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
- A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks
- Exploring Effective Inter-Encoder Semantic Interaction for Document-Level Relation Extraction
- Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data
- Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?
- Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning
- MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation
- Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks
- Multi-Grained Multimodal Interaction Network for Entity Linking
- Frigate: Frugal Spatio-temporal Forecasting on Road Networks
- Learning Strong Graph Neural Networks with Weak Information
- GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning
- PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks
- CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
- Contrastive Cross-scale Graph Knowledge Synergy
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- Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping
- CARL-G: Clustering-Accelerated Representation Learning on Graphs
- Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning
- Incremental Causal Graph Learning for Online Root Cause Analysis
- κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning
- Graph Contrastive Learning with Generative Adversarial Network
- Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective
- Enhancing Graph Representations Learning with Decorrelated Propagation
- Classification of Edge-dependent Labels of Nodes in Hypergraphs
- On Structural Expressive Power of Graph Transformers
- What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
- Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks
- GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
- CFGL-LCR: A Counterfactual Graph Learning Framework for Legal Case Retrieval
- Fairness-Aware Continuous Predictions of Multiple Analytics Targets in Dynamic Networks
- Leveraging Relational Graph Neural Network for Transductive Model Ensemble
- Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation
- Community-based Dynamic Graph Learning for Popularity Prediction
- Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks
- QTIAH-GNN: Quantity and Topology Imbalance-aware Heterogeneous Graph Neural Network for Bankruptcy Prediction
- Localised Adaptive Spatial-Temporal Graph Neural Network
- E-commerce Search via Content Collaborative Graph Neural Network
- Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining
- Multi-Temporal Relationship Inference in Urban Areas
- Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree
- Semi-Supervised Graph Imbalanced Regression
- Knowledge Graph Self-Supervised Rationalization for Recommendation
- Shift-Robust Molecular Relational Learning with Causal Substructure
- Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction
- Graph Neural Bandits
- Causal Effect Estimation on Hierarchical Spatial Graph Data
- Automated 3D Pre-Training for Molecular Property Prediction
- PROSE: Graph Structure Learning via Progressive Strategy
- EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation
- AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning
- Rumor Detection with Diverse Counterfactual Evidence
- Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning
- Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
- When to Pre-Train Graph Neural Networks? From Data Generation Perspective!
- Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models
- Certified Edge Unlearning for Graph Neural Networks
- FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs
- Dual-view Molecular Pre-training
- FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework
- MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
- Graph Neural Processes for Spatio-Temporal Extrapolation
- Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations
- DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph
- A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
- Meta Graph Learning for Long-tail Recommendation
- 3D-IDS: Doubly Disentangled Dynamic Intrusion Detection
- DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection
- GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
- Task-Equivariant Graph Few-shot Learning
- All in One: Multi-Task Prompting for Graph Neural Networks
- Similarity Preserving Adversarial Graph Contrastive Learning
- Kernel Ridge Regression-Based Graph Dataset Distillation
- Narrow the Input Mismatch in Deep Graph Neural Network Distillation
- B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning
- A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields
- GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network
- Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
- Clenshaw Graph Neural Networks
- Spatial Heterophily Aware Graph Neural Networks
- Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling
- HomoGCL: Rethinking Homophily in Graph Contrastive Learning
- Efficient and Effective Edge-wise Graph Representation Learning
- On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness
- On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering
- Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information
- Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
- Context-aware Event Forecasting via Graph Disentanglement
- Generalizing Graph ODE for Learning Complex System Dynamics across Environments
- Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation
- Reconstructing Graph Diffusion History from a Single Snapshot
- A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability
- Grace: Graph Self-Distillation and Completion to Mitigate Degree-Related Biases
- Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs
- WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window
- Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation
- Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities
- Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation
- Augmenting Recurrent Graph Neural Networks with a Cache
- GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
- End-to-End Full-Atom Antibody Design
- Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
- A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
- Dink-Net: Neural Clustering on Large Graphs
- Training Deep Surrogate Models with Large Scale Online Learning
- WL meet VC
- Graph Neural Tangent Kernel: Convergence on Large Graphs
- FAENet: Frame Averaging Equivariant GNN for Materials Modeling
- Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
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- Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
- Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation
- Distribution Free Prediction Sets for Node Classification
- Relevant Walk Search for Explaining Graph Neural Networks
- Towards Understanding and Reducing Graph Structural Noise for GNNs
- Contrastive Learning Meets Homophily: Two Birds with One Stone
- Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
- Neural Status Registers
- What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings
- Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks
- Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
- On the Initialization of Graph Neural Networks
- RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations
- Metagenomic Binning using Connectivity-constrained Variational Autoencoders
- Improving Graph Generation by Restricting Graph Bandwidth
- Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching
- Efficiently predicting high resolution mass spectra with graph neural networks
- Graph Reinforcement Learning for Network Control via Bi-Level Optimization
- On the Expressive Power of Geometric Graph Neural Networks
- Boosting Graph Contrastive Learning via Graph Contrastive Saliency
- Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
- DRew: Dynamically Rewired Message Passing with Delay
- TIDE: Time Derivative Diffusion for Deep Learning on Graphs
- Linkless Link Prediction via Relational Distillation
- A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
- Learning Compiler Pass Orders using Coreset and Normalized Value Prediction
- SlotGAT: Slot-based Message Passing for Heterogeneous Graphs
- Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network
- Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
- Disentangled Multiplex Graph Representation Learning
- AbODE: Ab initio antibody design using conjoined ODEs
- Rethinking Weak Supervision in Helping Contrastive Learning
- When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
- Neural Algorithmic Reasoning with Causal Regularisation
- Towards Robust Graph Incremental Learning on Evolving Graphs
- Transformers Meet Directed Graphs
- Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure
- Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition
- Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
- On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
- Personalized Subgraph Federated Learning
- Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
- Graph Contrastive Backdoor Attacks
- LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
- From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
- RGE: A Repulsive Graph Rectification for Node Classification via Influence
- GOAT: A Global Transformer on Large-scale Graphs
- GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
- Generated Graph Detection
- Path Neural Networks: Expressive and Accurate Graph Neural Networks
- Equivariant Polynomials for Graph Neural Networks
- GC-Flow: A Graph-Based Flow Network for Effective Clustering
- Feature Expansion for Graph Neural Networks
- Conformal Prediction Sets for Graph Neural Networks
- Autoregressive Diffusion Model for Graph Generation
- Model-Aware Contrastive Learning: Towards Escaping the Dilemmas
- Structural Re-weighting Improves Graph Domain Adaptation
- E(n) Equivariant Message Passing Simplicial Networks
- All in a Row: Compressed Convolution Networks for Graphs
- Total Variation Graph Neural Networks
- Graphically Structured Diffusion Models
- D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
- FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
- Graph Switching Dynamical Systems
- Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
- Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
- Vertical Federated Graph Neural Network for Recommender System
- Conditional Graph Information Bottleneck for Molecular Relational Learning
- Personalized Federated Learning with Inferred Collaboration Graphs
- Randomized Schur Complement Views for Graph Contrastive Learning
- Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
- Local Vertex Colouring Graph Neural Networks
- Graph Generative Model for Benchmarking Graph Neural Networks
- Learning Representations without Compositional Assumptions
- GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming
- Smart Initial Basis Selection for Linear Programs
- Graph Mixup with Soft Alignments
- Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
- A Generalization of ViT/MLP-Mixer to Graphs
- Deep Graph Representation Learning and Optimization for Influence Maximization
- On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
- Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
- Generative Graph Dictionary Learning
- Graph Positional Encoding via Random Feature Propagation
- Towards Understanding Generalization of Graph Neural Networks
- Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
- Graph Neural Networks with Learnable and Optimal Polynomial Bases
- Expectation-Complete Graph Representations with Homomorphisms
- Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process
- Universal Morphology Control via Contextual Modulation
- Towards Deep Attention in Graph Neural Networks: Problems and Remedies
- Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction
- Improving Graph Neural Networks with Learnable Propagation Operators
- MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
- StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes
- Half-Hop: A graph upsampling approach for slowing down message passing
- Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
- Uncertainty Estimation for Molecules: Desiderata and Methods
- Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver
- Featured Graph Coarsening with Similarity Guarantees
- Fisher Information Embedding for Node and Graph Learning
- CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
- Von Mises Mixture Distributions for Molecular Conformation Generation
- Modeling Dynamic Environments with Scene Graph Memory
- Understanding Oversquashing in GNNs through the Lens of Effective Resistance
- GREAD: Graph Neural Reaction-Diffusion Networks
- Alternately Optimized Graph Neural Networks
- Ewald-based Long-Range Message Passing for Molecular Graphs
- Implicit Graph Neural Networks: A Monotone Operator Viewpoint
- HOPE: High-order Graph ODE For Modeling Interacting Dynamics
- When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations
- On the Connection Between MPNN and Graph Transformer
- Learning Preconditioners for Conjugate Gradient PDE Solvers
- SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching
- Graph Inductive Biases in Transformers without Message Passing
- LinSATNet: The Positive Linear Satisfiability Neural Networks
- Exphormer: Sparse Transformers for Graphs
- Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks
- Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
- Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
- SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
- A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
- From Hypergraph Energy Functions to Hypergraph Neural Networks
- Generalizing Neural Wave Functions
- Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
- InGram: Inductive Knowledge Graph Embedding via Relation Graphs
- Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction
- TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning
- Helping a Friend or Supporting a Cause? Disentangling Active and Passive Cosponsorship in the U.S. Congress
- Peer-Label Assisted Hierarchical Text Classification
- Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation
- Enhancing Language Representation with Constructional Information for Natural Language Understanding
- IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures
- Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning
- Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach
- DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations
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- Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks
- Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection
- Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering
- Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction
- Multilingual Knowledge Graph Completion with Language-Sensitive Multi-Graph Attention
- Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
- CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification
- A Novel Table-to-Graph Generation Approach for Document-Level Joint Entity and Relation Extraction
- Semantic Structure Enhanced Event Causality Identification
- Single Sequence Prediction over Reasoning Graphs for Multi-hop QA
- Transforming Visual Scene Graphs to Image Captions
- An AMR-based Link Prediction Approach for Document-level Event Argument Extraction
- DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles
- Dynamic Heterogeneous-Graph Reasoning with Language Models and Knowledge Representation Learning for Commonsense Question Answering
- Double-Branch Multi-Attention based Graph Neural Network for Knowledge Graph Completion
- KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding
- Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment
- TREA: Tree-Structure Reasoning Schema for Conversational Recommendation
- CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality
- History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling
- Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning
- Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination
- Patton: Language Model Pretraining on Text-Rich Networks
- Linguistic representations for fewer-shot relation extraction across domains
- Generating Visual Spatial Description via Holistic 3D Scene Understanding
- HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level
- ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning
- CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation
- FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction
- BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency
- Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation
- Constrained Tuple Extraction with Interaction-Aware Network
- GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding
- Learning Latent Relations for Temporal Knowledge Graph Reasoning
- Exploring and Verbalizing Academic Ideas by Concept Co-occurrence
- A Cross-Modality Context Fusion and Semantic Refinement Network for Emotion Recognition in Conversation
- Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Paths
- Holistic Prediction on a Time-Evolving Attributed Graph
- Dialogue Summarization with Static-Dynamic Structure Fusion Graph
- Graph-based Relation Mining for Context-free Out-of-vocabulary Word Embedding Learning
- Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling
- Evaluate AMR Graph Similarity via Self-supervised Learning
- Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement
- HiPool: Modeling Long Documents Using Graph Neural Networks
- Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion
- From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm
- Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks
- Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation
- Graph Representation for Order-Aware Visual Transformation
- Semi-Weakly Supervised Object Kinematic Motion Prediction
- DiffCollage: Parallel Generation of Large Content With Diffusion Models
- Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement
- Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers
- Devil's on the Edges: Selective Quad Attention for Scene Graph Generation
- Robust 3D Shape Classification via Non-Local Graph Attention Network
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- An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity
- Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning
- Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction
- VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation
- 3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud
- Graph Transformer GANs for Graph-Constrained House Generation
- Multi-Object Manipulation via Object-Centric Neural Scattering Functions
- Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation
- SViTT: Temporal Learning of Sparse Video-Text Transformers
- High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition
- Target-Referenced Reactive Grasping for Dynamic Objects
- Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images
- Visual Dependency Transformers: Dependency Tree Emerges From Reversed Attention
- Incremental 3D Semantic Scene Graph Prediction From RGB Sequences
- Edge-Aware Regional Message Passing Controller for Image Forgery Localization
- Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition
- Sampling Is Matter: Point-Guided 3D Human Mesh Reconstruction
- TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification
- Deep Learning of Partial Graph Matching via Differentiable Top-K
- Learning and Aggregating Lane Graphs for Urban Automated Driving
- VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
- ViPLO: Vision Transformer Based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection
- Local Connectivity-Based Density Estimation for Face Clustering
- Multilateral Semantic Relations Modeling for Image Text Retrieval
- Adaptive Graph Convolutional Subspace Clustering
- DepGraph: Towards Any Structural Pruning
- FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs
- Adversarially Robust Neural Architecture Search for Graph Neural Networks
- IS-GGT: Iterative Scene Graph Generation With Generative Transformers
- Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration
- SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
- KiUT: Knowledge-Injected U-Transformer for Radiology Report Generation
- Progressive Neighbor Consistency Mining for Correspondence Pruning
- MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction
- Weakly Supervised Posture Mining for Fine-Grained Classification
- Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering
- Learning Discriminative Representations for Skeleton Based Action Recognition
- Probabilistic Debiasing of Scene Graphs
- Unifying Short and Long-Term Tracking With Graph Hierarchies
- Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection
- Tree Instance Segmentation With Temporal Contour Graph
- Mind the Label Shift of Augmentation-Based Graph OOD Generalization
- 3Mformer: Multi-Order Multi-Mode Transformer for Skeletal Action Recognition
- Deep Graph Reprogramming
- Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images
- HS-Pose: Hybrid Scope Feature Extraction for Category-Level Object Pose Estimation
- Learning Situation Hyper-Graphs for Video Question Answering
- PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
- TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images
- CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection
- HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
- Graph Neural Networks with Diverse Spectral Filtering
- Graph Neural Networks without Propagation
- Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task
- Node-wise Diffusion for Scalable Graph Learning
- Unifying and Improving Graph Convolutional Neural Networks with Wavelet Denoising Filters
- CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing
- Unnoticeable Backdoor Attacks on Graph Neural Networks
- Self-Supervised Teaching and Learning of Representations on Graphs
- Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification
- Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning
- Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection
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- HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks
- Unsupervised Anomaly Detection on Microservice Traces through Graph VAE
- Dynamically Expandable Graph Convolution for Streaming Recommendation
- Attacking Fake News Detectors via Manipulating News Social Engagement
- Link Prediction on Latent Heterogeneous Graphs
- Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs
- Denoising and Prompt-Tuning for Multi-Behavior Recommendation
- Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network
- Hierarchical Self-Attention Embedding for Temporal Knowledge Graph Completion
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
- Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks
- Robust Mid-Pass Filtering Graph Convolutional Networks
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
- Robust Graph Representation Learning for Local Corruption Recovery
- Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network
- Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs
- HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer
- Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation
- Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks
- Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning
- ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation
- Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph
- Semi-decentralized Federated Ego Graph Learning for Recommendation
- Hashtag-Guided Low-Resource Tweet Classification
- KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks
- Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning
- Interaction-level Membership Inference Attack Against Federated Recommender Systems
- Automated Self-Supervised Learning for Recommendation
- KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion
- HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction
- Federated Node Classification over Graphs with Latent Link-type Heterogeneity
- Message Function Search for Knowledge Graph Embedding
- SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
- Fair Graph Representation Learning via Diverse Mixture-of-Experts
- Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling
- ConsRec: Learning Consensus Behind Interactions for Group Recommendation
- xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction
- TIGER: Temporal Interaction Graph Embedding with Restarts
- INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
- Personalized Graph Signal Processing for Collaborative Filtering
- Knowledge Graph Completion with Counterfactual Augmentation
- Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer
- RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks
- Minimum Topology Attacks for Graph Neural Networks
- Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment
- TEA: Time-aware Entity Alignment in Knowledge Graphs
- Automated Spatio-Temporal Graph Contrastive Learning
- Unlearning Graph Classifiers with Limited Data Resources
- PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
- Multi-Behavior Recommendation with Cascading Graph Convolution Networks
- Multi-Aspect Heterogeneous Graph Augmentation
- TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification
- Learning To Rank Resources with GNN
- Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum
- SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
- Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation
- Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
- GIF: A General Graph Unlearning Strategy via Influence Function
- Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs
- Compressed Interaction Graph based Framework for Multi-behavior Recommendation
- Graph-based Village Level Poverty Identification
- Graph Self-supervised Learning with Augmentation-aware Contrastive Learning
- SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data
- Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space
- Graph-less Collaborative Filtering
- Encoding Node Diffusion Competence and Role Significance for Network Dismantling
- Knowledge Graph Question Answering with Ambiguous Query
- Label Information Enhanced Fraud Detection against Low Homophily in Graphs
- Unsupervised Entity Alignment for Temporal Knowledge Graphs
- CogDL: A Comprehensive Library for Graph Deep Learning
- A Post-Training Framework for Improving Heterogeneous Graph Neural Networks
- Curriculum Graph Poisoning
- Homophily-oriented Heterogeneous Graph Rewiring
- CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion
- Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation
- Robust Preference-Guided Denoising for Graph based Social Recommendation
- Collaboration-Aware Graph Convolutional Network for Recommender Systems
- Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation
- Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model
- CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization
- Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models
- Rethinking the Expressive Power of GNNs via Graph Biconnectivity
- Graph Neural Networks for Link Prediction with Subgraph Sketching
- Do We Really Need Complicated Model Architectures For Temporal Networks?
- Towards Open Temporal Graph Neural Networks
- Learning on Large-scale Text-attributed Graphs via Variational Inference
- Conditional Antibody Design as 3D Equivariant Graph Translation
- Relative representations enable zero-shot latent space communication
- AutoGT: Automated Graph Transformer Architecture Search
- Transfer NAS with Meta-learned Bayesian Surrogates
more
- Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
- MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
- LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
- Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
- Serving Graph Compression for Graph Neural Networks
- Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
- Gradient Gating for Deep Multi-Rate Learning on Graphs
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
- Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective
- Rethinking Graph Lottery Tickets: Graph Sparsity Matters
- $\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks
- Learnable Graph Convolutional Attention Networks
- Limitless Stability for Graph Convolutional Networks
- A critical look at evaluation of GNNs under heterophily: Are we really making progress?
- Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
- A non-asymptotic analysis of oversmoothing in Graph Neural Networks
- ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
- Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
- FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
- Are More Layers Beneficial to Graph Transformers?
- Deep Ensembles for Graphs with Higher-order Dependencies
- Graph Domain Adaptation via Theory-Grounded Spectral Regularization
- Sign and Basis Invariant Networks for Spectral Graph Representation Learning
- Specformer: Spectral Graph Neural Networks Meet Transformers
- Unveiling the sampling density in non-uniform geometric graphs
- Spectral Augmentation for Self-Supervised Learning on Graphs
- Simple Yet Effective Graph Contrastive Learning for Recommendation
- Graph Contrastive Learning for Skeleton-based Action Recognition
- A Message Passing Perspective on Learning Dynamics of Contrastive Learning
- Characterizing the Influence of Graph Elements
- Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective
- Revisiting Robustness in Graph Machine Learning
- Localized Randomized Smoothing for Collective Robustness Certification
- Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
- Fundamental Limits in Formal Verification of Message-Passing Neural Networks
- Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
- ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
- Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
- Strategic Classification on Graphs
- Empowering Graph Representation Learning with Test-Time Graph Transformation
- Confidence-Based Feature Imputation for Graphs with Partially Known Features
- Fair Attribute Completion on Graph with Missing Attributes
- Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
- Learning Fair Graph Representations via Automated Data Augmentations
- Global Explainability of GNNs via Logic Combination of Learned Concepts
- Interpretable Geometric Deep Learning via Learnable Randomness Injection
- A Differential Geometric View and Explainability of GNN on Evolving Graphs
- GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks
- Explaining Temporal Graph Models through an Explorer-Navigator Framework
- A New Hierarchy of Expressivity for Graph Neural Networks
- Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs
- Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation
- Agent-based Graph Neural Networks
- Automated Data Augmentations for Graph Classification
- Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
- Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and Multi-Layer Perceptrons
- Improving Out-of-distribution Generalization with Indirection Representations
- Energy-based Out-of-Distribution Detection for Graph Neural Networks
- Control Graph as Unified IO for Morphology-Task Generalization
- GNNDelete: A General Unlearning Strategy for Graph Neural Networks
- Efficient Model Updates for Approximate Unlearning of Graph-Structured Data
- MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning
- Link Prediction with Non-Contrastive Learning
- GReTo: Remedying dynamic graph topology-task discordance via target homophily
- CUTS: Neural Causal Discovery from Unstructured Time-Series Data
- Logical Message Passing Networks with One-hop Inference on Atomic Formulas
- Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network
- Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
- Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks
- DiGress: Discrete Denoising diffusion for graph generation
- GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure
- DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
- GFlowNets and variational inference
- Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem
- Molecule Generation For Target Protein Binding with Structural Motifs
- Learning Harmonic Molecular Representations on Riemannian Manifold
- De Novo Molecular Generation via Connection-aware Motif Mining
- Sampling-free Inference for Ab-Initio Potential Energy Surface Networks
- $\mathcal{O}$-GNN: incorporating ring priors into molecular modeling
- Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching
- Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules
- Pre-training via Denoising for Molecular Property Prediction
- Matching receptor to odorant with protein language and graph neural networks
- PiFold: Toward effective and efficient protein inverse folding
- ModelAngelo: Automated Model Building for Cryo-EM Maps
- Hierarchical Protein Representations via Complete 3D Graph Networks
- Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
- Equivariant Hypergraph Diffusion Neural Operators
- A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
- Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions
- Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
- Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks
- Learning Symbolic Models for Graph-structured Physical Mechanism
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
- Learning Controllable Adaptive Simulation for Multi-scale Physics
- Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems
- Grounding Graph Network Simulators using Physical Sensor Observations
- Learning rigid dynamics with face interaction graph networks
- Schema Inference for Interpretable Image Classification
- Learning Domain-Agnostic Representation for Disease Diagnosis
- Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
- Latent Graph Inference using Product Manifolds
- Random Laplacian Features for Learning with Hyperbolic Space
- Dual Algorithmic Reasoning
- Relational Attention: Generalizing Transformers for Graph-Structured Tasks
- Neural DAG Scheduling via One-Shot Priority Sampling
- Unsupervised Learning for Combinatorial Optimization Needs Meta Learning
- Backpropagation through Combinatorial Algorithms: Identity with Projection Works
- Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems
- A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming
- On Representing Mixed-Integer Linear Programs by Graph Neural Networks
- On Representing Linear Programs by Graph Neural Networks
- Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
- AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
- Effects of Graph Convolutions in Multi-layer Networks
- Simplicial Hopfield networks
- Learning Hyper Label Model for Programmatic Weak Supervision
- Learning to Solve Constraint Satisfaction Problems with Recurrent Transformers
- Learning to CROSS exchange to solve min-max vehicle routing problems
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
- Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution
- CktGNN: Circuit Graph Neural Network for Electronic Design Automation
- {EAGLE}: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
- CLNode: Curriculum Learning for Node Classification
- Robust Training of Graph Neural Networks via Noise Governance
- DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation
- Self-Supervised Group Graph Collaborative Filtering for Group Recommendation
- Knowledge-Adaptive Contrastive Learning for Recommendation
- Beyond Individuals: Modeling Mutual and Multiple Interactions for Inductive Link Prediction between Groups
- Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval
- Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation
- GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
- Towards Faithful and Consistent Explanations for Graph Neural Networks
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- VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation
- Weakly Supervised Entity Alignment with Positional Inspiration
- Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference
- Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks
- Dependency-aware Self-training for Entity Alignment
- MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
- Simplifying Graph-based Collaborative Filtering for Recommendation
- Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution
- SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation
- Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering
- Cooperative Explanations of Graph Neural Networks
- A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework
- BLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed Graphs
- Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection
- Few-shot Node Classification with Extremely Weak Supervision
- Inductive Graph Transformer for Delivery Time Estimation
- S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking
- Search Behavior Prediction: A Hypergraph Perspective
- Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
- Learning to Distill Graph Neural Networks
- Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs
- DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation
- Self-supervised Graph Representation Learning for Black Market Account Detection
- Exploiting Explicit and Implicit Item relationships for Session-based Recommendation
- Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network
- Alleviating Structural Distribution Shift in Graph Anomaly Detection
- Heterogeneous Graph Contrastive Learning for Recommendation
- Minimum Entropy Principle Guided Graph Neural Networks
- Self-Supervised Graph Structure Refinement for Graph Neural Networks
- Global Counterfactual Explainer for Graph Neural Networks
- Disentangled Negative Sampling for Collaborative Filtering
- Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs
- Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph
- Position-Aware Subgraph Neural Networks with Data-Efficient Learning
- Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
- Heterogeneous Graph-based Context-aware Document Ranking
- Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
- Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
- Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework
- Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning
- Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks
- Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
- Interpolating Graph Pair to Regularize Graph Classification
- Boosting Graph Neural Networks via Adaptive Knowledge Distillation
- Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
- Substructure Aware Graph Neural Networks
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- Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions
- GLCC: A General Framework for Graph-Level Clustering
- Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
- Generalizing Downsampling from Regular Data to Graphs
- DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing
- Simple and Efficient Heterogeneous Graph Neural Network
- Graph Ordering Attention Networks
- Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
- Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton
- Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
- Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
- Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
- Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis
- Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs
- Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation
- GENNAPE: Towards Generalized Neural Architecture Performance Estimators
- AIO-P: Expanding Neural Performance Predictors beyond Image Classification
- Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network
- Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
- Universe Points Representation Learning for Partial Multi-Graph Matching
- Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment
- Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
- RWEN-TTS: Relation-Aware Word Encoding Network for Natural Text-to-Speech Synthesis
- Heterogeneous Graph Masked Autoencoders
- T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation
- GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification
- Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning
- Wasserstein Graph Distance Based on L1–Approximated Tree Edit Distance between Weisfeiler–Lehman Subtrees
- FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning
- Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
- T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction
- Boundary Graph Neural Networks for 3D Simulations
- CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials
- Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering
- Deep Graph Structural Infomax
- Hard Sample Aware Network for Contrastive Deep Graph Clustering
- Robust Causal Graph Representation Learning against Confounding Effects
- DropMessage: Unifying Random Dropping for Graph Neural Networks
- Relation-Aware Language-Graph Transformer for Question Answering
- Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
- A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension
- Data Imputation with Iterative Graph Reconstruction
- Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
- Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework
- Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
- Joint Multimodal Entity-Relation Extraction Based on Edge-Enhanced Graph Alignment Network and Word-Pair Relation Tagging
- Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
- Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing
- Improving Interpretability via Explicit Word Interaction Graph Layer
- Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
- LIMIP: Lifelong Learning to Solve Mixed Integer Programs
- GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM
- Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization
- Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding
- Topological Pooling on Graphs
- Dynamic Heterogeneous Graph Attention Neural Architecture Search
- Self-Supervised Bidirectional Learning for Graph Matching
- KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations
- Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards
- Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry
- Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator
- Local-Global Defense against Unsupervised Adversarial Attacks on Graphs
- Dual Label-Guided Graph Refinement for Multi-View Graph Clustering
- Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
- Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems
- Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering
- Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection
- Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information
- SigMaNet: One Laplacian to Rule Them All
- Predicting Temporal Sets with Simplified Fully Connected Networks
- Learning Topology-Specific Experts for Molecular Property Prediction
- Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning
- PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
- Multi-Level Confidence Learning for Trustworthy Multimodal Classification
- Graph Structure Learning on User Mobility Data for Social Relationship Inference
- Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items
- Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection
- Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction
- MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis
- Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection
- Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
- DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations
- A Set of Control Points Conditioned Pedestrian Trajectory Prediction
- Towards Complex Scenarios: Building End-to-End Task-Oriented Dialogue System across Multiple Knowledge Bases
- Random Walk Conformer: Learning Graph Representation from Long and Short Range
- Continual Graph Convolutional Network for Text Classification
- Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks
- Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition
- AlphaRoute: Large-Scale Coordinated Route Planning via Monte Carlo Tree Search
- Leveraging Weighted Cross-Graph Attention for Visual and Semantic Enhanced Video Captioning Network
- Scalable Attributed-Graph Subspace Clustering
- Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition
- Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network
- Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions
- Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition
- GMDNet: A Graph-Based Mixture Density Network for Estimating Packages’ Multimodal Travel Time Distribution
- WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series
- USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network
- Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search
- Signed Laplacian Graph Neural Networks
- Gradient-Based Graph Attention for Scene Text Image Super-resolution
- DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks
- GRIP: Graph Representation of Immune Repertoire Using Graph Neural Network and Transformer
- Learning to Count Isomorphisms with Graph Neural Networks
- Multi-Domain Generalized Graph Meta Learning
- Scalable Spatiotemporal Graph Neural Networks
- Asynchronous Event Processing with Local-Shift Graph Convolutional Network
- Social Relation Reasoning Based on Triangular Constraints
- On Generalized Degree Fairness in Graph Neural Networks
- Attribute and Structure Preserving Graph Contrastive Learning
- Inferring Patient Zero on Temporal Networks via Graph Neural Networks
- Neighbor Contrastive Learning on Learnable Graph Augmentation