- Uncovering the Structural Fairness in Graph Contrastive Learning
- Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
- Template based Graph Neural Network with Optimal Transport Distances
- MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
- Ordered Subgraph Aggregation Networks
- Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
- Public Wisdom Matters Discourse-Aware Hyperbolic Fourier Co-Attention for Social Text Classification
- Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
- Symmetry-induced Disentanglement on Graphs
- Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
more
- Vision GNN: An Image is Worth Graph of Nodes
- Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
- Stars: Tera-Scale Graph Building for Clustering and Learning
- GREED: A Neural Framework for Learning Graph Distance Functions
- Neural Approximation of Extended Persistent Homology on Graphs
- CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
- Recipe for a General, Powerful, Scalable Graph Transformer
- Hierarchical Graph Transformer with Adaptive Node Sampling
- NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
- Revisiting Heterophily For Graph Neural Networks
- Simplified Graph Convolution with Heterophily
- Decoupled Self-supervised Learning for Non-Homophilous Graphs
- Old can be Gold: Better Gradient Flow can make Vanilla-GCNs Great Again
- Not too little, not too much: a theoretical analysis of graph (over)smoothing
- Can Hybrid Geometric Scattering Networks Help Solve the Maximal Clique Problem?
- MGNNI: Multiscale Graph Neural Networks with Implicit Layers
- OPEN: Orthogonal Propagation with Ego-Network Modeling
- Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias
- On the Robustness of Graph Neural Diffusion
- Are Defenses for Graph Neural Networks Robust?
- EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
- Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
- Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats
- GraphQNTK: the Quantum Neural Tangent Kernel for Graph Data
- Label-invariant Augmentation for Semi-Supervised Graph Classification
- Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
- Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
- Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection
- Graph Scattering beyond Wavelet Shackles
- High-Order Pooling for Graph Neural Networks with Tensor Decomposition
- Graph Neural Networks with Adaptive Readouts
- Capturing Graphs with Hypo-Elliptic Diffusions
- Generalised Implicit Neural Representations
- Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
- Neuron with Steady Response Leads to Better Generalization
- Learning Invariant Graph Representations Under Distribution Shifts
- Towards Debiased Learning and Out-of-Distribution Detection for Graph Data
- Association Graph Learning for Multi-Task Classification with Category Shifts
- Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
- Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
- SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
- OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
- Explaining Graph Neural Networks with Structure-Aware Cooperative Games
- Task-Agnostic Graph Explanations
- Inherently Explainable Reinforcement Learning in Natural Language
- CLEAR: Generative Counterfactual Explanations on Graphs
- Equivariant Graph Hierarchy-based Neural Networks
- Equivariant Networks for Crystal Structures
- Learning Physical Dynamics with Subequivariant Graph Neural Networks
- How Powerful are K-hop Message Passing Graph Neural Networks
- A Practical, Progressively-Expressive GNN
- Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
- Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
- Geodesic Graph Neural Network for Efficient Graph Representation Learning
- Pure Transformers are Powerful Graph Learners
- Redundancy-Free Message Passing for Graph Neural Networks
- Universally Expressive Communication in Multi-Agent Reinforcement Learning
- Provably expressive temporal graph networks
- Learning-based Manipulation Planning in Dynamic Environments Using GNNs and Temporal Encoding
- Learning Modular Simulations for Homogeneous Systems
- Sequential Latent Variable Models for Multiagent Trajectories
- Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs
- Parameter-free Dynamic Graph Embedding for Link Prediction
- Learning interacting dynamical systems with latent Gaussian process ODEs
- Time Dimension Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting
- Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks
- AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs
- Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift
- Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
- Leaning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds
- Simultaneous Missing Value Imputation and Structure Learning with Groups
- On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs
- Geometric Distillation for Graph Networks
- Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks
- Interaction Modeling with Multiplex Attention
- ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
- Inductive Logical Query Answering in Knowledge Graphs
- Knowledge-Aware Bayesian Deep Topic Model
- Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graph
- Few-shot Relational Reasoning via Pretraining of Connection Subgraph Reconstruction
- Deep Bidirectional Language-Knowledge Pretraining
- Contrastive Language-Image Pre-Training with Knowledge Graphs
- Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
- Zero-shot Transfer Learning on Heterogeneous Graphs via Knowledge Transfer Networks
- Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks
- Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy
- DreamShard: Generalizable Embedding Table Placement for Recommender Systems
- SHINE: SubHypergraph Inductive Neural nEtwork
- Learning Enhanced Representation for Tabular Data via Neighborhood Propagation
- Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
- Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
- Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
- Co-Modality Imbalanced Graph Contrastive Learning
- Generalized Laplacian Eigenmaps
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
- Graph Self-supervised Learning with Accurate Discrepancy Learning
- S3GC: Scalable Self-Supervised Graph Clustering
- Understanding Self-Supervised Graph Representation Learning from a Data-Centric Perspective
- A Variational Edge Partition Model for Supervised Graph Representation Learning
- Evaluating Graph Generative Models with Contrastively Learned Features
- AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators
- Deep Generative Model for Periodic Graphs
- Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
- ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
- Does GNN Pretraining Help Molecular Representation?
- Modular Flows: Differential Molecular Generation
- Molecule Generation by Principal Subgraph Mining and Assembling
- Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction
- Regularized Molecular Conformation Fields
- Periodic Graph Transformers for Crystal Material Property Prediction
- So3krates - Self-attention for higher-order geometric interactions on arbitrary length-scales
- Spherical Channels for Modeling Atomic Interactions
- ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery
- TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction
- An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries
- Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms
- MAgNet: Mesh Agnostic Neural PDE Solver
- M2N: Mesh Movement Networks for PDE Solvers
- Learning Interface Conditions in Domain Decomposition Solvers
- PhysGNN: A Physics--Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image--Guided Neurosurgery
- Physical Design using Differentiable Learned Simulators
- Physics-Embedded Neural Networks: $\boldsymbol{\mathrm{E}(n)}$-Equivariant Graph Neural PDE Solvers
- Learning Rigid Body Dynamics with Lagrangian Graph Neural Network
- Graph Learning Assisted Multi-Objective Integer Programming
- Learning to Compare Nodes in Branch and Bound with Graph Neural Networks
- A Deep Reinforcement Learning Framework for Column Generation
- Exact Shape Correspondence via 2D graph convolution
- Robust Graph Structure Learning over Images via Multiple Statistical Tests
- Iterative Scene Graph Generation
- Learning Audio-Visual Dynamics Using Scene Graphs
- Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems
- NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
- Learning NP-Hard Joint-Assignment planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-iteration
- NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level Synthesis
- Unsupervised Learning for Combinatorial Optimization with Principled Objective Design
- Versatile Multi-stage Graph Neural Network for Circuit Representation
- Neural Topological Ordering for Computation Graphs
- Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
- Efficient Graph Similarity Computation with Alignment Regularization
- Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks
- Pseudo-Riemannian Graph Convolutional Networks
- Brain Network Transformer
- MAtt: A Manifold Attention Network for EEG Decoding
- Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
- DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
- Graph Neural Network Bandits
- What Makes Graph Neural Networks Miscalibrated?
- First Hitting Diffusion Models
- coVariance Neural Networks
- Graph Neural Networks are Dynamic Programmers
- Graph Few-shot Learning with Task-specific Structures
- Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
- TA-GATES: An Encoding Scheme for Neural Network Architectures
- Iterative Structural Inference of Directed Graphs
- A Fair Comparison of Two Popular Flat-Minima Optimizers: Stochastic Weight Averaging vs. Sharpness-Aware Minimization
- Transformers meet Stochastic Blockmodels: Attention with Data-Adaptive Sparsity and Cost
- SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser
- Capturing Global Structural Information in Long Document Question Answering with Compressive Graph Selector Network
- MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks
- Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction
- Attention and Edge-Label Guided Graph Convolutional Networks for Named Entity Recognition
- ACENet: Attention Guided Commonsense Reasoning on Hybrid Knowledge Graph
- Transformer-based Entity Typing in Knowledge Graphs
- Rethinking Multi-Modal Alignment in Multi-Choice VideoQA from Feature and Sample Perspectives
- Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering
more
- Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling
- HEGEL: Hypergraph Transformer for Long Document Summarization
- ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select
- Simplified Graph Learning for Inductive Short Text Classification
- Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis
- Faithful Knowledge Graph Explanations in Commonsense Question Answering
- PAR: Political Actor Representation Learning with Social Context and Expert Knowledge
- SEMGraph: Incorporating Sentiment Knowledge and Eye Movement into Graph Model for Sentiment Analysis
- DRLK: Dynamic Hierarchical Reasoning with Language Model and Knowledge Graph for Question Answering
- Learning Cross-Task Dependencies for Joint Extraction of Entities, Events, Event Arguments, and Relations
- A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing
- Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification
- Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs
- Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs
- MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning
- IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection
- Extending Phrase Grounding with Pronouns in Visual Dialogues
- Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion
- GREENER: Graph Neural Networks for News Media Profiling
- RelU-Net: Syntax-aware Graph U-Net for Relational Triple Extraction
- Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement
- DSM: Question Generation over Knowledge Base via Modeling Diverse Subgraphs with Meta-learner
- Open-Topic False Information Detection on Social Networks with Contrastive Adversarial Learning
- Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging
- Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations
- Abstractive Summarization Guided by Latent Hierarchical Document Structure
- Graph-Induced Transformers for Efficient Multi-Hop Question Answering
- A Joint Learning Framework for Restaurant Survival Prediction and Explanation
- Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence
- Scientific Paper Extractive Summarization Enhanced by Citation Graphs
- DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection
- GHAN: Graph-Based Hierarchical Aggregation Network for Text-Video Retrieval
- Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform
- Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation
- Influence-Based Mini-Batching for Graph Neural Networks
- You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained Graph Tickets
- A Generalist Neural Algorithmic Learner
- Graph Learning Indexer: A Contributor-Friendly Platform for Better Curation of Graph Learning Benchmarks
- Taxonomy of Benchmarks in Graph Representation Learning
- GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
- Shortest Path Networks for Graph Property Prediction
- Neighborhood-aware Scalable Temporal Network Representation Learning
- Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification
more
- Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction
- Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems
- Flashlight: Scalable Link Prediction with Effective Decoders
- Sparse and Local Hypergraph Reasoning Networks
- Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning
- ISA-Traffic: An Ising-Aided Method for Traffic Congestion Prediction with Uncertainty
- DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series
- Continuous Neural Algorithmic Planners
- FakeEdge: Alleviate Dataset Shift in Link Prediction
- Towards Training GNNs using Explanation Directed Message Passing
- DIGRAC: Digraph Clustering Based on Flow Imbalance
- Efficient Representation Learning for Higher-Order Data with Simplicial Complexes
- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian
- Representation Learning on Biomolecular Structures using Equivariant Graph Attention
- Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations
- Label-Wise Graph Convolutional Network for Heterophilic Graphs
- Similarity-based Link Prediction from Modular Compression of Network Flows
- Learnable Commutative Monoids for Graph Neural Networks
- Gradual Weisfeiler-Leman: Slow and Steady Wins the Race
- Graph Neural Network with Local Frame for Molecular Potential Energy Surface
- A Survey on Deep Graph Generation: Methods and Application
- AutoGDA: Automated Graph Data Augmentation for Node Classification
- DiffWire: Inductive Graph Rewiring via the Lov'asz Bound
- A simple way to learn metrics between attributed graphs
- Graph-Time Convolutional Autoencoders
- On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs with Missing Node Features
- Weisfeiler and Leman Go Relational
- Learning Graph Search Heuristics
- ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning
- Combining Graph and Recurrent Networks for Efficient and Effective Segment Tagging
- GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
- Well-conditioned Spectral Transforms for Dynamic Graph Representation
- PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations
- Neural Graph Modelling of Whole Slide Images for Survival Ranking
- CEP3: Community Event Prediction with Neural Point Process on Graph
- TopoImb: Toward Topology-level Imbalance in Learning from Graphs
- Neural Graph Databases
- De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
- Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-aware Weisfeiler-Lehman
- Expander Graph Propagation
- Metric Based Few-Shot Graph Classification
- GEFL: Extended Filtration Learning for Graph Classification
- Distributed representations of graphs for drug pair scoring
- Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets
- Reasoning-Modulated Representations
- A Systematic Evaluation of Node Embedding Robustness
- Transfer Learning using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes
- Feature-Oriented Sampling for Fast and Scalable GNN Training
- MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
- Backpropagation-free Graph Neural Networks
- HP-GMN: Graph Memory Networks for Heterophilous Graphs
- Causality Enhanced Societal Event Forecasting with Heterogeneous Graph Learning
- Structure-Preserving Graph Representation Learning
- Sparsified Subgraph Memory for Continual Graph Representation Learning
- Uncertainty Propagation in Node Classification
- CC-GNN: A Community and Contraction-based Graph Neural Network
- THINK: Temporal Hypergraph Hyperbolic Network
more
- GRANDE: a neural model over directed multigraphs with application to anti-money laundering
- A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences
- Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation
- Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses
- Conflict Aware Pseudo Labeling via Optimal Transport for Entity Alignment
- Origin-Destination Traffic Prediction based on Hybrid Spatio-Temporal Network
- Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing
- DeepGAR: Deep Graph Learning for Analogical Reasoning
- Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling
- Kernel-based Substructure Exploration for Next POI Recommendation
- Unifying Graph Contrastive Learning with Flexible Contextual Scopes
- HiGIL: Hierarchical Graph Inference Learning for Fact Checking
- Revisiting Link Prediction on Heterogeneous Graphs with A Multi-view Perspective
- Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning
- Text-enhanced Multi-Granularity Temporal Graph Learning for Event Prediction
- DAGAD: Data Augmentation for Graph Anomaly Detection
- Structural Robust Label Propagation on Homogeneous Graphs
- Invariant Factor Graph Neural Networks
- A Generic Graph Sparsification Framework using Deep Reinforcement Learning
- Privacy-Preserved Neural Graph Similarity Learning
- Deep Spatial Domain Generalization
- The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection
- Augmenting Knowledge Transfer across Graphs
- A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation
- HyperKGQA: Question Answering over Knowledge Graphs using Hyperbolic Representation Learning
- GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation
- Hypernode: Entity Fusion for Data Tracebility and Link Prediction
- Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning
- MRM2: Multi-Relationship Modeling Module for Multivariate Time Series Classification
- Task-level Relations Modelling for Graph Meta-learning
- Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks
- Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases
- Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction
- GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media
- Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
- Unsupervised Deep Subgraph Anomaly Detection
- Improving Graph Representation Learning with Distribution Preserving
- A Convex Formulation for Graph Convolutional Training: Two Layer Case
- Generalized Few-Shot Node Classification
- Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
- MentalNet: Heterogeneous Graph Representation for Early Depression Detection
- THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks
- IGNiteR: News Recommendation in Microblogging Applications
- GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
- Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation
- Learning from the Multi-Level Abstraction of the Control Flow Graph via Alternating Propagation for Bug Localization
- Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph
- diffConv: Analyzing Irregular Point Clouds with an Irregular View
- Video Graph Transformer for Video Question Answering
- CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval
- TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors
- Equivariant Hypergraph Neural Networks
- Learning Self-Prior for Mesh Denoising Using Dual Graph Convolutional Networks
- GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs
- The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts
- Effective Presentation Attack Detection Driven by Face Related Task
more
- Relationship Spatialization for Depth Estimation
- End-to-End Active Speaker Detection
- Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction
- VoViT: Low Latency Graph-Based Audio-Visual Voice Separation Transformer
- Self-Supervised Learning of Visual Graph Matching
- Dual Perspective Network for Audio-Visual Event Localization
- AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection
- PoserNet: Refining Relative Camera Poses Exploiting Object Detections
- D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights
- 3D Equivariant Graph Implicit Functions
- DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks
- Panoramic Human Activity Recognition
- IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition
- GraphFit: Learning Multi-Scale Graph-Convolutional Representation for Point Cloud Normal Estimation
- Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification
- Self-supervised Social Relation Representation for Human Group Detection
- Graph Neural Network for Cell Tracking in Microscopy Videos
- Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach
- GTCaR: Graph Transformer for Camera Re-Localization
- Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation
- Unsupervised Segmentation in Real-World Images via Spelke Object Inference
- Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos
- Pose Forecasting in Industrial Human-Robot Collaboration
- Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors
- Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection
- SelectionConv: Convolutional Neural Networks for Non-Rectilinear Image Data
- Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction
- Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation
- End-to-end Graph-constrained Vectorized Floorplan Generation with Panoptic Refinement
- GraphVid: It Only Takes a Few Nodes to Understand a Video
- Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks
- An Efficient Person Clustering Algorithm for Open Checkout-free Groceries
- Generative Subgraph Contrast for Self-Supervised Graph Representation Learning
- 3D Human Pose Estimation Using Möbius Graph Convolutional Networks
- MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes
- Learning from Unlabeled 3D Environments for Vision-and-Language Navigation
- TD-Road: Top-Down Road Network Extraction with Holistic Graph Construction
- Transformer with Implicit Edges for Particle-Based Physics Simulation
- PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?
- Robust Landmark-Based Stent Tracking in X-Ray Fluoroscopy
- Towards Open Set Video Anomaly Detection
- S2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning
- Learning Graph Neural Networks for Image Style Transfer
- Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective
- Learning Causal Effects on Hypergraphs
- Graph Rationalization with Environment-based Augmentations
- Causal Attention for Interpretable and Generalizable Graph Classification
- Graph-in-Graph Network for Automatic Gene Ontology Description Generation
- Deep Representations for Time-varying Brain Datasets
- RetroGraph: Retrosynthetic Planning with Graph Search
- Task-Adaptive Few-shot Node Classification
- Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation
- TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
- Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing
more
- Graph Neural Networks for Multimodal Single-Cell Data Integration
- Global Self-Attention as a Replacement for Graph Convolution
- JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks
- Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems
- Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation
- Neural Bandit with Arm Group Graph
- Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer
- Meta-Learned Metrics over Multi-Evolution Temporal Graphs
- On Structural Explanation of Bias in Graph Neural Networks
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder
- Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems
- Towards Representation Alignment and Uniformity in Collaborative Filtering
- CoRGi: Content-Rich Graph Neural Networks with Attention
- Knowledge-enhanced Black-box Attacks for Recommendations
- Efficient Join Order Selection Learning with Graph-based Representation
- COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
- Nimble GNN Embedding with Tensor-Train Decomposition
- Condensing Graphs via One-Step Gradient Matching
- Graph Structural Attack by Perturbing Spectral Distance
- Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
- Nonlinearity Encoding for Extrapolation of Neural Networks
- Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
- Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries
- Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting
- Multi-Variate Time Series Forecasting on Variable Subsets
- How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications
- CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation
- HICF: Hyperbolic Informative Collaborative Filtering
- Disentangled Ontology Embedding for Zero-shot Learning
- UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs
- Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
- M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning
- Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction
- Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation
- FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks
- GraphMAE: Self-Supervised Masked Graph Autoencoders
- Instant Graph Neural Networks for Dynamic Graphs
- Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
- Self-Supervised Hypergraph Transformer for Recommender Systems
- GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks
- Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN
- ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities
- Reinforcement Subgraph Reasoning for Fake News Detection
- Motif Prediction with Graph Neural Networks
- KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction
- Unified 2D and 3D Pre-Training of Molecular Representations
- SIPF: Sampling Method for Inverse Protein Folding
- Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer
- Enhancing Machine Learning Approaches for Graph Optimization Problems with Diversifying Graph Augmentation
- Domain Adaptation in Physical Systems via Graph Kernel
- GBPNet: Universal Geometric Representation Learning on Protein Structures
- FlowGEN: A Generative Model for Flow Graphs
- Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning
- Compute Like Humans: Interpretable Step-by-step Symbolic Computation with Deep Neural Network
- Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation
- Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation
- SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin Loss
- RL2: A Call for Simultaneous Representation Learning and Rule Learning for Graph Streams
- Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage
- Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification
- User-Event Graph Embedding Learning for Context-Aware Recommendation
- Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing
- Variational Graph Author Topic Modeling
- Multiplex Heterogeneous Graph Convolutional Network
- MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting
- Model Degradation Hinders Deep Graph Neural Networks
- ROLAND: Graph Learning Framework for Dynamic Graphs
- Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification
- Streaming Graph Neural Networks with Generative Replay
- GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks
- Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction
- Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning
- CLARE: A Semi-supervised Community Detection Algorithm
- Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach
- M3Care: Learning with Missing Modalities in Multimodal Healthcare Data
- Graph Neural Networks with Node-wise Architecture
- Graph-Flashback Network for Next Location Recommendation
- Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks
- ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis
- Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph
- Learning on Graphs with Out-of-Distribution Nodes
- Modeling Network-level Traffic Flow Transitions on Sparse Data
- Rethinking the Setting of Semi-supervised Learning on Graphs
- Hierarchical Diffusion Scattering Graph Neural Network
- Can Abnormality be Detected by Graph Neural Networks?
- Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport
- Data-Free Adversarial Knowledge Distillation for Graph Neural Networks
- TGNN: A Joint Semi-supervised Framework for Graph-level Classification
- RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
- Filtration-Enhanced Graph Transformation
- Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
- Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting
more
- Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation
- Spiking Graph Convolutional Networks
- Document-level Relation Extraction via Subgraph Reasoning
- Learning Graph-based Residual Aggregation Network for Group Activity Recognition
- Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph
- MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection
- RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation
- Cross-modal Representation Learning and Relation Reasoning for Bidirectional Adaptive Manipulation
- FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
- Relational Triple Extraction: One Step is Enough
- Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge
- A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing
- Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation
- End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection
- Subsequence-based Graph Routing Network for Capturing Multiple Risk Propagation Processes
- A Simple yet Effective Method for Graph Classification
- Multi-view Unsupervised Graph Representation Learning
- Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction
- Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
- Information Augmentation for Few-shot Node Classification
- Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network
- Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
- FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
- Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning
- Contrastive Graph Transformer Network for Personality Detection
- Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies
- Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search
- Effective Graph Context Representation for Document-level Machine Translation
- Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure
- Initializing Then Refining: A Simple Graph Attribute Imputation Network
- EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment
- Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification
- What Does My GNN Really Capture? On Exploring Internal GNN Representations
- Adaptive Long-Short Pattern Transformer for Stock Investment Selection
- RoboGNN: Robustifying Node Classification under Link Perturbation
- Personalized Federated Learning With a Graph
- Proximity Enhanced Graph Neural Networks with Channel Contrast
- Interactive Information Extraction by Semantic Information Graph
- On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration
- Multi-Graph Fusion Networks for Urban Region Embedding
- Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders
- Entity Alignment with Reliable Path Reasoning and Relation-aware Heterogeneous Graph Transformer
- DyGRAIN: An Incremental Learning Framework for Dynamic Graphs
- Enhancing Sequential Recommendation with Graph Contrastive Learning
- Plane Geometry Diagram Parsing
- RAW-GNN: RAndom Walk Aggregation based Graph Neural Network
- Self-supervised Graph Neural Networks for Multi-behavior Recommendation
- Grape: Grammar-Preserving Rule Embedding
- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering
- GraphDIVE: Graph Classification by Mixture of Diverse Experts
- SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech
- Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent Forecasting
- Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
- Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting
- Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation
- CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
- Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning
- Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks
- SGAT: Simplicial Graph Attention Network
- Emotion-Controllable Generalized Talking Face Generation
- Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention
- Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs
- TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning
- Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors
- Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network
- Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs
- Ensemble Multi-Relational Graph Neural Networks
- Learning Label Initialization for Time-Dependent Harmonic Extension.
- Towards Discourse-Aware Document-Level Neural Machine Translation
- Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification
- Table2Graph: Transforming Tabular Data to Unified Weighted Graph
- Deep Graph Matching for Partial Label Learning
- Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning
- Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network
- MERIT: Learning Multi-level Representations on Temporal Graphs
- Biological Instance Segmentation with a Superpixel-Guided Graph
- Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs
- Hypergraph Structure Learning for Hypergraph Neural Networks
- Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction
- Attributed Graph Clustering with Dual Redundancy Reduction
- Raising the Bar in Graph-level Anomaly Detection
- GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning
- Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning
- Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks
- 3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
- G-Mixup: Graph Data Augmentation for Graph Classification
- Generating 3D Molecules for Target Protein Binding
- Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
- Equivariant Diffusion for Molecule Generation in 3D
- A Theoretical Comparison of Graph Neural Network Extensions
- Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
- Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
- pathGCN: Learning General Graph Spatial Operators from Paths
- Information Bottleneck-Guided Stochastic Attention Mechanism for Interpretable Graph Learning
more
- Boosting Graph Structure Learning with Dummy Nodes
- Structure-Aware Transformer for Graph Representation Learning
- Semiparametric Subgraph Reasoning for Question Answering over Large Knowledge Bases
- Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
- Local Augmentation for Graph Neural Networks
- Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
- Equivariant graph neural networks with complete local frames
- Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection
- Scalable Deep Gaussian Markov Random Fields for General Graphs
- Cross-Space Active Learning on Graph Convolutional Networks
- ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
- The Infinite Contextual Graph Markov Model
- Constraint-based graph network simulator
- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
- On the Equivalence Between Temporal and Static Equivariant Graph Representations
- SPECTRE : Spectral Conditioning Overcomes the Expressivity Limits of One-shot Graph Generators
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting
- Equivariant Quantum Graph Circuits
- Generative Coarse-Graining of Molecular Conformations
- Optimization-induced Implicit Graph Diffusion
- Optimizing Tensor Network Contraction Using Reinforcement Learning
- Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search
- Deep and Flexible Graph Neural Architecture Search
- NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
- A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
- LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation
- Neural-Symbolic Models for Logical Queries on Knowledge Graphs
- Convergence of Invariant Graph Networks
- How Powerful are Spectral Graph Neural Networks
- The CLRS Algorithmic Reasoning Benchmark
- Molecular Graph Representation Learning via Heterogeneous Motif Graph Construction
- Large-Scale Graph Neural Architecture Search
- From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
- Learning to Solve PDE-constrained Inverse Problems with Graph Networks
- Self-Supervised Representation Learning via Latent Graph Prediction
- GraphFM: Improving Large-Scale GNN Training via Feature Momentum
- A New Perspective on the Effects of Spectrum in Graph Neural Networks
- $p$-Laplacian Based Graph Neural Networks
- G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters
- GALAXY: Graph-based Active Learning at the Extreme
- Augment with Care: Contrastive Learning for Combinatorial Problems
- Weisfeiler-Lehman meets Gromov-Wasserstein
- GACT: Activation Compressed Training for Generic Network Architectures
- Learning from Counterfactual Links for Link Prediction
- SpeqNets: Sparsity-aware permutation-equivariant graph networks
- Cycle Representation Learning for Inductive Relation Prediction
- TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
- Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer
- VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis
- Structural Entropy Guided Graph Hierarchical Pooling
- Graph-Coupled Oscillator Networks
- Nonlinear Feature Diffusion on Hypergraphs
- Particle Transformer for Jet Tagging
- Learning to Assemble with Large-Scale Structured Reinforcement Learning
- Antibody-Antigen Interface Design via Hierarchical Structure Refinement
- Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
- Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
- Going Deeper into Permutation-Sensitive Graph Neural Networks
- Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
- Rethinking Graph Neural Networks for Anomaly Detection
- PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
- 3D Infomax improves GNNs for Molecular Property Prediction
- Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
- Injecting Logical Constraints into Neural Networks via Straight-Through Estimators
- Learning Iterative Reasoning through Energy Minimization
- SSEGCN: Syntactic and Semantic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis
- Generic and Trend-aware Curriculum Learning for Relation Extraction
- CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data
- JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering
- TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages
- Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering
- Cross-document Misinformation Detection based on Event Graph Reasoning
- Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies
- Joint Learning-based Heterogeneous Graph Attention Network for Timeline Summarization
- DocTime: A Document-level Temporal Dependency Graph Parser
more
- CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking
- Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction
- Event Schema Induction with Double Graph Autoencoders
- A Double-Graph Based Framework for Frame Semantic Parsing
- Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims
- Multi-Relational Graph Transformer for Automatic Short Answer Grading
- DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks
- Disentangled Action Recognition with Knowledge Bases
- Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss
- KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media
- Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs
- A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
- Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
- Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling
- FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations
- COGMEN: COntextualized GNN based Multimodal Emotion recognitioN
- Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
- HL-Net: Heterophily Learning Network for Scene Graph Generation
- Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization
- Think Global, Act Local: Dual-Scale Graph Transformer for Vision-and-Language Navigation
- Adaptive Trajectory Prediction via Transferable GNN
- Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design
- OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
- Robust Optimization As Data Augmentation for Large-Scale Graphs
- ClusterGNN: Cluster-Based Coarse-To-Fine Graph Neural Network for Efficient Feature Matching
- Collaborative Learning for Hand and Object Reconstruction With Attention-Guided Graph Convolution
more
- Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs With Language Structures via Dependency Relationships
- Spatial Commonsense Graph for Object Localisation in Partial Scenes
- Scene Graph Expansion for Semantics-Guided Image Outpainting
- RU-Net: Regularized Unrolling Network for Scene Graph Generation
- SGTR: End-to-End Scene Graph Generation With Transformer
- Robust Contrastive Learning Against Noisy Views
- Cross-Modal Clinical Graph Transformer for Ophthalmic Report Generation
- RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition
- Graph-Based Spatial Transformer With Memory Replay for Multi-Future Pedestrian Trajectory Prediction
- TrackFormer: Multi-Object Tracking With Transformers
- Multi-Modal Dynamic Graph Transformer for Visual Grounding
- Reinforced Structured State-Evolution for Vision-Language Navigation
- GraFormer: Graph-Oriented Transformer for 3D Pose Estimation
- Mining Multi-View Information: A Strong Self-Supervised Framework for Depth-Based 3D Hand Pose and Mesh Estimation
- OnePose: One-Shot Object Pose Estimation Without CAD Models
- Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior
- Convolutions for Spatial Interaction Modeling
- LTP: Lane-Based Trajectory Prediction for Autonomous Driving
- "The Pedestrian Next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping
- GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction With Relational Reasoning
- Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning
- Equivariant Point Cloud Analysis via Learning Orientations for Message Passing
- MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph
- JoinABLe: Learning Bottom-Up Assembly of Parametric CAD Joints
- GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings
- Revisiting Skeleton-Based Action Recognition
- InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition
- Object-Relation Reasoning Graph for Action Recognition
- Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction
- AEGNN: Asynchronous Event-Based Graph Neural Networks
- Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction
- IntentVizor: Towards Generic Query Guided Interactive Video Summarization
- AirObject: A Temporally Evolving Graph Embedding for Object Identification
- Compositional Temporal Grounding With Structured Variational Cross-Graph Correspondence Learning
- Improving Subgraph Recognition With Variational Graph Information Bottleneck
- Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees
- DST: Dynamic Substitute Training for Data-Free Black-Box Attack
- Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond
- Multi-Robot Active Mapping via Neural Bipartite Graph Matching
- Graph-Context Attention Networks for Size-Varied Deep Graph Matching
- SIGMA: Semantic-Complete Graph Matching for Domain Adaptive Object Detection
- Towards Robust Adaptive Object Detection Under Noisy Annotations
- Learning Semantic Associations for Mirror Detection
- Local-Adaptive Face Recognition via Graph-Based Meta-Clustering and Regularized Adaptation
- Decoupled Multi-Task Learning With Cyclical Self-Regulation for Face Parsing
- Generating Diverse 3D Reconstructions From a Single Occluded Face Image
- End-to-End Reconstruction-Classification Learning for Face Forgery Detection
- MobRecon: Mobile-Friendly Hand Mesh Reconstruction From Monocular Image
- Interacting Attention Graph for Single Image Two-Hand Reconstruction
- CellTypeGraph: A New Geometric Computer Vision Benchmark
- Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification
- Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces From 3D MRI Scans With Geometric Deep Neural Networks
- Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search
- Automatic Relation-Aware Graph Network Proliferation
- RAGO: Recurrent Graph Optimizer for Multiple Rotation Averaging
- Long-Term Visual Map Sparsification With Heterogeneous GNN
- SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters
- Lifelong Graph Learning
- Neural Collaborative Graph Machines for Table Structure Recognition
- A Voxel Graph CNN for Object Classification With Event Cameras
- PolyWorld: Polygonal Building Extraction With Graph Neural Networks in Satellite Images
- OcclusionFusion: Occlusion-Aware Motion Estimation for Real-Time Dynamic 3D Reconstruction
- LinkBERT: Pretraining Language Models with Document Links
- Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning
- FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
- HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations
- AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension
- Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis
- KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
- Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension
- Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering
- Direct parsing to sentiment graphs
more
- Graph Pre-training for AMR Parsing and Generation
- Fully Hyperbolic Neural Networks
- Graph Enhanced Contrastive Learning for Radiology Findings Summarization
- Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network
- Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
- Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering
- Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction
- Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution
- Guided Attention Multimodal Multitask Financial Forecasting with Inter-Company Relationships and Global and Local News
- Unsupervised Dependency Graph Network
- Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP
- Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking
- Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph
- Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing
- Nested Named Entity Recognition with Span-level Graphs
- A Neural Network Architecture for Program Understanding Inspired by Human Behaviors
- Tracing Origins: Coreference-aware Machine Reading Comprehension
- Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts
- Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation
- Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network
- Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization
- Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis
- JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection
- An Effective and Efficient Entity Alignment Decoding Algorithm via Third-Order Tensor Isomorphism
- Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks
- Graph Neural Networks Beyond Compromise Between Attribute and Topology
- Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
- ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs
- GRAND+: Scalable Graph Random Neural Networks
- Graph Sanitation with Application to Node Classification
- Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
- Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative Sampling
- ALLIE: Active Learning on Large-scale Imbalanced Graphs
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning
- Unbiased Graph Embedding with Biased Graph Observations
more
- HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization
- Modeling User Behavior with Graph Convolution for Personalized Product Search
- IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search
- Socialformer: Social Network Inspired Long Document Modeling for Document Ranking
- RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph
- TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection
- Time-aware Entity Alignment using Temporal Relational Attention
- Rethinking Graph Convolutional Networks in Knowledge Graph Completion
- Uncertainty-aware Pseudo Label Refinery for Entity Alignment
- SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs
- Knowledge Graph Reasoning with Relational Digraph
- Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data
- AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations
- Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning
- Exploring Edge Disentanglement for Node Classification
- An Invertible Graph Diffusion Neural Network for Source Localization
- SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation
- Graph Alignment with Noisy Supervision
- CGC: Contrastive Graph Clustering for Community Detection and Tracking
- Graph Communal Contrastive Learning
- RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network
- Geometric Graph Representation Learning via Maximizing Rate Reduction
- Dual Space Graph Contrastive Learning
- EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
- Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily
- Model-Agnostic Augmentation for Accurate Graph Classification
- Multimodal Continual Graph Learning with Neural Architecture Search
- AUC-oriented Graph Neural Network for Fraud Detection
- Graph-adaptive Rectified Linear Unit for Graph Neural Networks
- Neural Predicting Higher-order Patterns in Temporal Networks
- Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction
- Adversarial Graph Contrastive Learning with Information Regularization
- Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective
- Towards Unsupervised Deep Graph Structure Learning
- Polarized Graph Neural Networks
- Prohibited Item Detection via Risk Graph Structure Learning
- Inflation Improves Graph Neural Networks
- H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections
- On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks
- Curvature Graph Generative Adversarial Networks
- Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices
- GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
- Compact Graph Structure Learning via Mutual Information Compression
- Graph Neural Network for Higher-Order Dependency Networks
- Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing
- PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm
- Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction
- Hypercomplex Graph Collaborative Filtering
- Graph Neural Transport Networks with Non-local Attentions for Recommender Systems
- GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction
- Graph-based Extractive Explainer for Recommendations
- Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
- FIRE: Fast Incremental Recommendation with Graph Signal Processing
- Evidence-aware Fake News Detection with Graph Neural Networks
- GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates
- Rumor Detection on Social Media with Graph Adversarial Contrastive Learning
- VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks
- Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network
- WebFormer: The Web-page Transformer for Structure Information Extraction
- STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation
- Socially-Equitable Interactive Graph Information Fusion-based Prediction for Urban Dockless E-Scooter Sharing
- KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios
- Distilling semantic knowledge for heterogeneous information network embedding
- Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media
- Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation
- Relational Multi-Task Learning: Modeling Relations between Data and Tasks
- A New Perspective on ''How Graph Neural Networks Go Beyond Weisfeiler-Lehman?''
- Understanding over-squashing and bottlenecks on graphs via curvature
- Large-Scale Representation Learning on Graphs via Bootstrapping
- Revisiting Over-smoothing in BERT from the Perspective of Graph
- DEGREE: Decomposition Based Explanation for Graph Neural Networks
- NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
- You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
- Expressiveness and Approximation Properties of Graph Neural Networks
more
- PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication
- IGLU: Efficient GCN Training via Lazy Updates
- Adaptive Filters for Low-Latency and Memory-Efficient Graph Neural Networks
- Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks
- EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression
- Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
- Discovering Invariant Rationales for Graph Neural Networks
- Explainable GNN-Based Models over Knowledge Graphs
- Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
- Automated Self-Supervised Learning for Graphs
- Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
- Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
- Is Homophily a Necessity for Graph Neural Networks?
- Inductive Relation Prediction Using Analogy Subgraph Embeddings
- Neural Methods for Logical Reasoning over Knowledge Graphs
- Query Embedding on Hyper-Relational Knowledge Graphs
- Neural Link Prediction with Walk Pooling
- Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
- How Attentive are Graph Attention Networks?
- Equivariant Subgraph Aggregation Networks
- From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
- GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
- Frame Averaging for Invariant and Equivariant Network Design
- Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective
- Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
- On Evaluation Metrics for Graph Generative Models
- Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
- Granger causal inference on DAGs identifies genomic loci regulating transcription
- Geometric Transformers for Protein Interface Contact Prediction
- Data-Efficient Graph Grammar Learning for Molecular Generation
- Differentiable Scaffolding Tree for Molecule Optimization
- GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation
- An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch
- Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
- MoReL: Multi-omics Relational Learning
- Chemical-Reaction-Aware Molecule Representation Learning
- Learning to Extend Molecular Scaffolds with Structural Motifs
- Spanning Tree-based Graph Generation for Molecules
- Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations
- Spherical Message Passing for 3D Molecular Graphs
- Crystal Diffusion Variational Autoencoder for Periodic Material Generation
- Pre-training Molecular Graph Representation with 3D Geometry
- Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
- TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting
- Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
- Filling the Gaps: Multivariate Time Series Imputation by Graph Neural Networks
- Neural graphical modelling in continuous-time: consistency guarantees and algorithms
- Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
- Graph-Guided Network for Irregularly Sampled Multivariate Time Series
- Message Passing Neural PDE Solvers
- Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
- Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions
- Predicting Physics in Mesh-reduced Space with Temporal Attention
- Constrained Graph Mechanics Networks
- Space-Time Graph Neural Networks
- Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting
- Neural Models for Output-Space Invariance in Combinatorial Problems
- Whats Wrong with Deep Learning in Tree Search for Combinatorial Optimization
- Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
- Learning Object-Oriented Dynamics for Planning from Text
- GNN-LM: Language Modeling based on Global Contexts via GNN
- GreaseLM: Graph REASoning Enhanced Language Models
- GNN is a Counter? Revisiting GNN for Question Answering
- Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space
- Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
- Generalized Demographic Parity for Group Fairness
- Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
- Context-Aware Sparse Deep Coordination Graphs
- LEARNING GUARANTEES FOR GRAPH CONVOLUTIONAL NETWORKS ON THE STOCHASTIC BLOCK MODEL
- A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease
- Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms
- Neural Structured Prediction for Inductive Node Classification
- Convergent Boosted Smoothing for Modeling GraphData with Tabular Node Features
- Convergent Graph Solvers
- Neural Relational Inference with Node-Specific Information
- Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction
- Triangle and Four Cycle Counting with Predictions in Graph Streams
- PF-GNN: Differentiable particle filtering based approximation of universal graph representations
- Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
- Topological Graph Neural Networks
- Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels
- Graph Neural Networks with Learnable Structural and Positional Representations
- Learning to Schedule Learning rate with Graph Neural Networks
- GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification
- Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning
- GRAND++: Graph Neural Diffusion with A Source Term
- Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
- Know Your Action Set: Learning Action Relations for Reinforcement Learning
- Why Propagate Alone? Parallel Use of Labels and Features on Graphs
- Graph Condensation for Graph Neural Networks
- Top-N: Equivariant Set and Graph Generation without Exchangeability
- Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs
- ProtGNN: Towards Self-Explaining Graph Neural Networks
- Molecular Contrastive Learning with Chemical Element Knowledge Graph
- Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph
- Stationary Diffusion State Neural Estimation for Multiview Clustering
- Augmentation-Free Self-Supervised Learning on Graphs
- Graph Neural Controlled Differential Equations for Traffic Forecasting
- Topology-aware Convolutional Neural Network for Efficient Skeleton-based Action Recognition
- A Self-supervised Mixed-curvature Graph Neural Network
- Adaptive Kernel Graph Neural Network
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
more
- SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds
- Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks
- EqGNN: Equalized Node Opportunity in Graphs
- Keypoint Message Passing for Video-based Person Re-Identification
- SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data
- Hybrid Graph Neural Networks for Few-Shot Learning
- KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
- Generalized Equivariance and Preferential Labeling for GNN Node Classification
- Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily
- Deformable Graph Convolutional Networks
- Block Modeling-Guided Graph Convolutional Neural Networks
- Fast Graph Neural Tangent Kernel via Kronecker Sketching
- Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching
- Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
- Orthogonal Graph Neural Networks
- ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization
- Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
- Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search
- HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
- Video as Conditional Graph Hierarchy for Multi-Granular Question Answering
- Graph Structure Learning with Variational Information Bottleneck
- Meta Propagation Networks for Graph Few-shot Semi-supervised Learning
- JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
- RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning
- SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning
- Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections
- Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
- GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction
- How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View
- Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers
- LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents
- SAIL: Self-Augmented Graph Contrastive Learning
- Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning
- Graph Pointer Neural Networks
- Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
- Cross-Domain Few-Shot Graph Classification
- Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
- Graph Filtration Kernels
- VACA: Designing Variational Graph Autoencoders for Causal Queries
- Improving Scene Graph Classification by Exploiting Knowledge from Texts
- Unsupervised Adversarially Robust Representation Learning on Graphs
- Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation
- Deep Graph Clustering via Dual Correlation Reduction
- Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing
- Simple Unsupervised Graph Representation Learning
- Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision
- Robust Heterogeneous Graph Neural Networks against Adversarial Attacks
- Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network
- Exploring Relational Semantics for Inductive Knowledge Graph Completion
- DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media
- A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection
- Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization
- MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning
- Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network
- LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning
- (2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering
- Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation
- Low-Pass Graph Convolutional Network for Recommendation
- Graph-Based Point Tracker for 3D Object Tracking in Point Clouds
- Multi-View Intent Disentangle Graph Networks for Bundle Recommendation
- MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction
- Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples
- Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning
- Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae
- Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction
- GNN-Retro: Retrosynthetic Planning with Graph Neural Networks
- Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks
- Multi-Scale Distillation from Multiple Graph Neural Networks
- Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations
- Beyond GNNs: An Efficient Architecture for Graph Problems
- MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
- Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection
- Learning Optical Flow with Adaptive Graph Reasoning
- Disentangled Spatiotemporal Graph Generative Models
- Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification
- CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing
- ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations
- Directed Graph Auto-Encoders
- GraphMemDialog: Optimizing End-to-End Task-Oriented Dialog Systems Using Graph Memory Networks
- TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
- Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering
- DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation
- Interpretable Neural Subgraph Matching for Graph Retrieval
- Linear, or Non-Linear, That is the Question!
- Graph Embedding with Hierarchical Attentive Membership
- Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation
- Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks
- Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
- Graph Few-shot Class-incremental Learning
- Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations
- Learning Fair Node Representations with Graph Counterfactual Fairness
- HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling
- Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
more
- Harvesting More Answer Spans from Paragraph beyond Annotation
- Graph Collaborative Reasoning
- Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation
- Predicting Human Mobility via Graph Convolutional Dual-attentive Networks
- Efficient Graph Convolution for Joint Node Representation Learning and Clustering
- Multi-Scale Variational Graph AutoEncoder for Link Prediction
- Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation
- Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction
- Triangle Graph Interest Network for Click-through Rate Prediction
- KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification
- Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
- ComGA: Community-Aware Attributed Graph Anomaly Detection
- Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
- EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs
- Diversified Query Generation Guided by Knowledge Graph
- Friend Story Ranking with Edge-Contextual Local Graph Convolutions
- Profiling the Design Space for Graph Neural Networks based Collaborative Filtering
- Informed Multi-context Entity Alignment
- Interpretable Relation Learning on Heterogeneous Graphs
- Community Trend Prediction on Heterogeneous Graph in E-commerce
- Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing
- Learning Concept Prerequisite Relations from Educational Data via Multi-Head Attention Variational Graph Auto-Encoders
- A GNN-based Multi-task Learning Framework for Personalized Video Search
- Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network
- A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion