- GraphANGEL: Adaptive aNd Structure-Aware Sampling on Graph NEuraL Networks
- Multi-objective Explanations of GNN Predictions
- GNES: Learning to Explain Graph Neural Networks
- GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs
- StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning
- ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
- Heterogeneous Graph Neural Network with Distance Encoding
- Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance
- A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning
- Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications
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- HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation
- Hypergraph Convolutional Network for Group Recommendation
- Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature
- Dynamic Attributed Graph Prediction with Conditional Normalizing Flows
- Streaming Dynamic Graph Neural Networks for Continuous-Time Temporal Graph Modeling
- Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference
- TEST-GCN: Topologically Enhanced Spatial-Temporal Graph Convolutional Networks for Traffic Forecasting
- MC-RGCN: A Multi-Channel Recurrent Graph Convolutional Network to Learn High-Order Social Relations for Diffusion Prediction
- Mcore: Multi-Agent Collaborative Learning for Knowledge-Graph-Enhanced Recommendation
- Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation
- Graph Neighborhood Routing and Random Walk for Session-based Recommendation
- Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network
- Heterogeneous Stream-reservoir Graph Networks with Data Assimilation
- Deep Generation of Heterogeneous Networks
- Heterogeneous Graph Neural Architecture Search
- GQNAS: Graph Q Network for Neural Architecture Search
- Learnable Structural Semantic Readout for Graph Classification
- Fast Attributed Graph Embedding via Density of States
- Accurate Graph-Based PU Learning without Class Prior
- Graph Transfer Learning
- AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks
- Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph
- FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance
- Bi-Level Attention Graph Neural Networks
- Semi-Supervised Graph Attention Networks for Event Representation Learning
- AdaBoosting Clusters on Graph Neural Networks
- Decoupling the Depth and Scope of Graph Neural Networks
- Representing Long-Range Context for Graph Neural Networks with Global Attention
- Robustness of Graph Neural Networks at Scale
- Universal Graph Convolutional Networks
- DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
- Subgroup Generalization and Fairness of Graph Neural Networks
- Towards Multi-Grained Explainability for Graph Neural Networks
- Graph Neural Networks for Link Prediction: A Theoretical Perspective
- Topology-Imbalance Learning for Semi-Supervised Node Classification
- MagNet: A Neural Network for Directed Graphs
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- Implicit SVD for Graph Representation Learning
- Node Dependent Local Smoothing for Scalable Graph Learning
- A Biased Graph Neural Network Sampler with Near-Optimal Regret
- VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
- Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing
- On Provable Benefits of Depth in Training Graph Convolutional Networks
- Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
- EIGNN: Efficient Infinite-Depth Graph Neural Networks
- Dissecting the Diffusion Process in Linear Graph Convolutional Networks
- Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
- Not All Low-Pass Filters are Robust in Graph Convolutional Networks
- Graph Neural Networks with Adaptive Residual
- Topological Relational Learning on Graphs
- Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
- Diverse Message Passing for Attribute with Heterophily
- Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
- Adaptive Diffusion in Graph Neural Networks
- Discrete-Valued Neural Communication
- Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
- Reinforcement Learning Enhanced Explainer for Graph Neural Networks
- Robust Counterfactual Explanations on Graph Neural Networks
- More Powerful Graph Neural Networks with Nesting
- Weisfeiler and Lehman Go Cellular: CW Networks
- Neural Trees for Learning on Graphs
- Reconstruction for Powerful Graph Representations
- Automorphic Equivalence-aware Graph Neural Network
- Graph Neural Networks with Local Graph Parameters
- On the Universality of Graph Neural Networks on Large Random Graphs
- E(n) Equivariant Normalizing Flows
- Automatic Symmetry Discovery with Lie Algebra Convolutional Network
- Contrastive Laplacian Eigenmaps
- Digraph Contrastive Learning
- Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels
- Disentangled Contrastive Learning on Graphs
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning
- Metropolis-Hastings Data Augmentation for Graph Neural Networks
- Adaptive Data Augmentation on Temporal Graphs
- Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
- GemNet: Universal Directional Graph Neural Networks for Molecules
- Directional Message Passing on Molecular Graphs via Synthetic Coordinates
- Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
- GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles
- Autobahn: Automorphism-based Graph Neural Nets
- Towards understanding retrosynthesis by energy-based models
- Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
- Edge Representation Learning with Hypergraphs
- Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
- INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding
- Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media
- Systematic Generalization with Edge Transformers
- Rethinking Graph Transformers with Spectral Attention
- Do Transformers Really Perform Bad for Graph Representation?
- GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
- NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs
- NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
- Neural Production Systems
- Coupled Segmentation and Edge Learning via Dynamic Graph Propagation
- Coarse-to-fine Animal Pose and Shape Estimation
- TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
- Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions
- Garment4D: Garment Reconstruction from Point Cloud Sequences
- You Only Look at Text: A CNN-Free Object Detector for Vector Graphics
- Object DGCNN: 3D Object Detection using Dynamic Graphs
- Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
- Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
- NeuroMLR: Robust & Reliable Route Recommendation on Road Networks
- GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction
- Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
- SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
- Graph Differentiable Architecture Search with Structure Learning
- AutoGEL: An Automated Graph Neural Network with Explicit Link Information
- Parameter Prediction for Unseen Deep Architectures
- Accurately Solving Rod Dynamics with Graph Learning
- Particle Cloud Generation with Message Passing Generative Adversarial Networks
- PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
- Beltrami Flow and Neural Diffusion on Graphs
- Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
- Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)
- Neural Algorithmic Reasoners are Implicit Planners
- Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
- A Convergence Analysis of Gradient Descent on Graph Neural Networks
- Ultrahyperbolic Neural Networks
- Federated Graph Classification over Non-IID Graphs
- Alignment Attention by Matching Key and Query Distributions
- Learning Conjoint Attentions for Graph Neural Nets
- BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
- Topic Modeling Revisited: A Document Graph-based Neural Network Perspective
- Deconvolutional Networks on Graph Data
- Learning to Elect
- Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
- RIM: Reliable Influence-based Active Learning on Graphs
- Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
- Learning Semantic Representations to Verify Hardware Designs
- KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network
- Scaling Gaussian Processes with Derivative Information Using Variational Inference
- Solving Graph-based Public Goods Games with Tree Search and Imitation Learning
- Learning Graph Cellular Automata
- SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL
- Learning Graph Models for Retrosynthesis Prediction
- Property-aware Adaptive Relation Networks for Molecular Property Prediction
- Subgraph Federated Learning with Missing Neighbor Generation
- InfoGCL: Information-Aware Graph Contrastive Learning
- Predicting Molecular Conformation via Dynamic Graph Score Matching
- Learning to Learn Graph Topologies
- MOMA: Multi-Object Multi-Actor Activity Parsing
- From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
- Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
- Multi-Scale Representation Learning on Proteins
- Knowledge-inspired 3D Scene Graph Prediction in Point Cloud
- Multi-view Contrastive Graph Clustering
- Interactive Machine Comprehension with Dynamic Knowledge Graphs
- Multiplex Graph Neural Network for Extractive Text Summarization
- An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction
- STaCK: Sentence Ordering with Temporal Commonsense Knowledge
- Learning grounded word meaning representations on similarity graphs
- Graph Based Network with Contextualized Representations of Turns in Dialogue
- Graphine: A Dataset for Graph-aware Terminology Definition Generation
- Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems
- Heterogeneous Graph Neural Networks for Keyphrase Generation
- Knowledge-Aware Meta-learning for Low-Resource Text Classification
more
- Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking
- Document Graph for Neural Machine Translation
- Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification
- Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction
- Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations
- Temporal Knowledge Graph Forecasting with Neural ODE
- A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing
- CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation
- Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge
- A Graph-Based Neural Model for End-to-End Frame Semantic Parsing
- CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling
- Weakly-supervised Text Classification Based on Keyword Graph
- Structural Adapters in Pretrained Language Models for AMR-to-Text Generation
- Integrating Semantic Scenario and Word Relations for Abstractive Sentence Summarization
- Think about it! Improving defeasible reasoning by first modeling the question scenario.
- Relation Extraction with Word Graphs from N-grams
- CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs
- Integrating Personalized PageRank into Neural Word Sense Disambiguation
- HittER: Hierarchical Transformers for Knowledge Graph Embeddings
- Deep Attention Diffusion Graph Neural Networks for Text Classification
- Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer
- HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
- Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs
- Fine-grained Entity Typing via Label Reasoning
- Structure-Augmented Keyphrase Generation
- BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification
- Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus
- Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding
- Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport
- From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment
- Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks
- Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph
- Event Graph based Sentence Fusion
- ActiveEA: Active Learning for Neural Entity Alignment
- HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression
- Iterative GNN-based Decoder for Question Generation
- Relation-aware Video Reading Comprehension for Temporal Language Grounding
- Adversarial Attack against Cross-lingual Knowledge Graph Alignment
- GraphMR: Graph Neural Network for Mathematical Reasoning
- EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning
- SpellBERT: A Lightweight Pretrained Model for Chinese Spelling Check
- Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs
- Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification
- Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
- Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations
- SgSum:Transforming Multi-document Summarization into Sub-graph Selection
- Distilling Holistic Knowledge with Graph Neural Networks
- Human Trajectory Prediction via Counterfactual Analysis
- Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
- Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning
- Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction
- GraphFPN: Graph Feature Pyramid Network for Object Detection
- RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
- Unifying Nonlocal Blocks for Neural Networks
- Adaptive Graph Convolution for Point Cloud Analysis
more
- Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
- Deep Relational Metric Learning
- Exploiting Scene Graphs for Human-Object Interaction Detection
- Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs
- Learning to Match Features with Seeded Graph Matching Network
- Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
- SketchLattice: Latticed Representation for Sketch Manipulation
- Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence
- DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization
- ODAM: Object Detection, Association, and Mapping using Posed RGB Video
- Dynamic Attentive Graph Learning for Image Restoration
- Shape-Biased Domain Generalization via Shock Graph Embeddings
- Hierarchical Object-to-Zone Graph for Object Navigation
- Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images
- Heterogeneous Relational Complement for Vehicle Re-identification
- Visual Scene Graphs for Audio Source Separation
- Generative Compositional Augmentations for Scene Graph Prediction
- OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution
- In Defense of Scene Graphs for Image Captioning
- Unconditional Scene Graph Generation
- Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference
- Video Matting via Consistency-Regularized Graph Neural Networks
- Unified Graph Structured Models for Video Understanding
- Video Self-Stitching Graph Network for Temporal Action Localization
- Consistency-Aware Graph Network for Human Interaction Understanding
- Spatially Conditioned Graphs for Detecting Human-Object Interactions
- Deep Structured Instance Graph for Distilling Object Detectors
- MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction
- PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation
- Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation
- Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud
- Towards Efficient Graph Convolutional Networks for Point Cloud Handling
- Visual Graph Memory With Unsupervised Representation for Visual Navigation
- TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition
- Learning Hierarchical Graph Neural Networks for Image Clustering
- Cascade Image Matting with Deformable Graph Refinement
- PoGO-Net: Pose Graph Optimization With Graph Neural Networks
- Mesh Graphormer
- GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network
- Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation
- Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation
- RDI-Net: Relational Dynamic Inference Networks
- Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks
- Light Field Saliency Detection With Dual Local Graph Learning and Reciprocative Guidance
- Persistent Homology Based Graph Convolution Network for Fine-Grained 3D Shape Segmentation
- Learn To Cluster Faces via Pairwise Classification
- Motion Guided Region Message Passing for Video Captioning
- Transformer-Based Dual Relation Graph for Multi-Label Image Recognition
- Graph-Based Asynchronous Event Processing for Rapid Object Recognition
- Multi-Echo LiDAR for 3D Object Detection
- TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild
- End-to-End Video Instance Segmentation via Spatial-Temporal Graph Neural Networks
- HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering
- Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning
- Space-Time-Separable Graph Convolutional Network for Pose Forecasting
- Adversarial Example Detection Using Latent Neighborhood Graph
- Modulated Graph Convolutional Network for 3D Human Pose Estimation
- MAAS: Multi-Modal Assignation for Active Speaker Detection
- Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search
- FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting
- Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples With Graph-Based Virtual Labels
- A Simple Baseline for Weakly-Supervised Scene Graph Generation
- Distinctiveness Oriented Positional Equilibrium for Point Cloud Registration
- CaT: Weakly Supervised Object Detection With Category Transfer
- Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting
- HighlightMe: Detecting Highlights From Human-Centric Videos
- Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding
- Track Without Appearance: Learn Box and Tracklet Embedding With Local and Global Motion Patterns for Vehicle Tracking
- Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection
- Attack-Guided Perceptual Data Generation for Real-World Re-Identification
- Enhanced Boundary Learning for Glass-Like Object Segmentation
- BlockPlanner: City Block Generation With Vectorized Graph Representation
- BuildingNet: Learning To Label 3D Buildings
- Meta Pairwise Relationship Distillation for Unsupervised Person Re-Identification
- H2O: Two Hands Manipulating Objects for First Person Interaction Recognition
- Click To Move: Controlling Video Generation With Sparse Motion
- Holistic Pose Graph: Modeling Geometric Structure Among Objects in a Scene Using Graph Inference for 3D Object Prediction
- Motion Prediction Using Trajectory Cues
- Wasserstein Coupled Graph Learning for Cross-Modal Retrieval
- Pose Invariant Topological Memory for Visual Navigation
- Towards Novel Target Discovery Through Open-Set Domain Adaptation
- Auto Graph Encoder-Decoder for Neural Network Pruning
- Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection
- Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution
- Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection
- Multi-Modal Multi-Action Video Recognition
- Cross-Patch Graph Convolutional Network for Image Denoising
- Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs
- Scaling Up Graph Neural Networks Via Graph Coarsening
- Adaptive Transfer Learning on Graph Neural Networks
- Representation Learning on Knowledge Graphs for Node Importance Estimation
- Graph Adversarial Attack via Rewiring
- Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective
- Learning How to Propagate Messages in Graph Neural Networks
- Relational Message Passing for Knowledge Graph Completion
- Tail-GNN: Tail-Node Graph Neural Networks
- MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems
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- Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space
- Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation
- Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data
- NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
- DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
- Individual Fairness for Graph Neural Networks: A Ranking based Approach
- When Comparing to Ground Truth is Wrong: On Evaluating GNN Explanation Methods
- Gaussian Process with Graph Convolutional Kernel for Relational Learning
- Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
- Dual Graph enhanced Embedding Neural Network for CTR Prediction
- Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting
- A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks
- Coupled Graph ODE for Learning Interacting System Dynamics
- Cross-Network Learning with Partially Aligned Graph Convolutional Networks
- Pre-training on Large-Scale Heterogeneous Graph
- Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion
- Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs
- Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
- Signed Graph Neural Network with Latent Groups
- Neural-Answering Logical Queries on Knowledge Graphs
- HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks
- Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks
- Temporal Graph Signal Decomposition
- Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
- DeGNN: Improving Graph Neural Networks with Graph Decomposition
- Semi-Supervised Deep Learning for Multiplex Networks
- Filtration Curves for Graph Representation
- ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks
- Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
- Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation
- Approximate Graph Propagation
- Unsupervised Graph Alignment with Wasserstein Distance Discriminator
- Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
- Zero-shot Node Classification with Decomposed Graph Prototype Network
- Geometric Graph Representation Learning on Protein Structure Prediction
- Forecasting Interaction Order on Temporal Graphs
- Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks
- Socially-Aware Self-Supervised Tri-Training for Recommendation
- Attentive Heterogeneous Graph Embedding for Job Mobility Prediction
- Scalable Heterogeneous Graph Neural Networks for Predicting High-potential Early-stage Startups
- ROD: Reception-aware Online Distillation for Sparse Graphs
- H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks
- Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation
- TDGIA: Effective Injection Attacks on Graph Neural Networks
- Counterfactual Graphs for Explainable Classification of Brain Networks
- Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection
- MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks
- HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps
- Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection
- A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem
- MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph
- Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach
- Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference
- Medical Entity Relation Verification with Large-scale Machine Reading Comprehension
- DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction
- MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal
- Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
- UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
- Multi-hop Attention Graph Neural Networks
- The Surprising Power of Graph Neural Networks with Random Node Initialization
- Node-wise Localization of Graph Neural Networks
- Secure Deep Graph Generation with Link Differential Privacy
- GM-MLIC: Graph Matching based Multi-Label Image Classification
- Multi-Channel Pooling Graph Neural Networks
- Graph Deformer Network
- GAEN: Graph Attention Evolving Networks
more
- User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation
- Layer-Assisted Neural Topic Modeling over Document Networks
- Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
- RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning
- Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network
- CuCo: Graph Representation with Curriculum Contrastive Learning
- DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
- CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction
- Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
- Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph
- Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints
- Enhancing Label Representations with Relational Inductive Bias Constraint for Fine-Grained Entity Typing
- Generative Adversarial Neural Architecture Search
- Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge
- Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
- Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
- MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events
- Graph-Free Knowledge Distillation for Graph Neural Networks
- PoseGTAC: Graph Transformer Encoder-Decoder with Atrous Convolution for 3D Human Pose Estimation
- Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
- TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates
- Graph Debiased Contrastive Learning with Joint Representation Clustering
- Learn from Concepts: Towards the Purified Memory for Few-shot Learning
- On Self-Distilling Graph Neural Network
- Solving Math Word Problems with Teacher Supervision
- TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators
- MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning
- Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
- AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction
- Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning
- MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction
- Reinforcement Learning for Route Optimization with Robustness Guarantees
- Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling
- Unsupervised Path Representation Learning with Curriculum Negative Sampling
- Self-Supervised Adversarial Distribution Regularization for Medication Recommendation
- Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
- TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning
- Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
- Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification
- Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data
- Discourse-Level Event Temporal Ordering with Uncertainty-Guided Graph Completion
- Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks
- Asynchronous Multi-grained Graph Network For Interpretable Multi-hop Reading Comprehension
- Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks
- Convexified Graph Neural Networks for Distributed Control in Robotic Swarms
- Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion
- Adaptive Edge Attention for Graph Matching with Outliers
- Learning Aggregation Functions
- Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks
- Learning Attributed Graph Representation with Communicative Message Passing Transformer
- GraphReach: Position-Aware Graph Neural Network using Reachability Estimations
- Understanding Structural Vulnerability in Graph Convolutional Networks
- Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
- SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations
- Graph Filter-based Multi-view Attributed Graph Clustering
- Focus on Interaction: A Novel Dynamic Graph Model for Joint Multiple Intent Detection and Slot Filling
- Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering
- A Novel Sequence-to-Subgraph Framework for Diagnosis Classification
- Conditional Self-Supervised Learning for Few-Shot Classification
- TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation
- Fine-Grained Air Quality Inference via Multi-Channel Attention Model
- Heterogeneous Graph Information Bottleneck
- Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection
- HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
- GraphMI: Extracting Private Graph Data from Graph Neural Networks
- Multi-Hop Fact Checking of Political Claims
- A Structure Self-Aware Model for Discourse Parsing on Multi-Party Dialogues
- Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs
- Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering
- Label-Specific Dual Graph Neural Network for Multi-Label Text Classification
- Controllable Open-ended Question Generation with A New Question Type Ontology
- Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis
- TIMERS: Document-level Temporal Relation Extraction
- Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference
- Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks
- Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation
- MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
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- ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction
- Multi-Scale Progressive Attention Network for Video Question Answering
- Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker
- CLEVE: Contrastive Pre-training for Event Extraction
- Learning Event Graph Knowledge for Abductive Reasoning
- Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks
- Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations
- Syntopical Graphs for Computational Argumentation Tasks
- Learning Latent Structures for Cross Action Phrase Relations in Wet Lab Protocols
- SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
- Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition
- LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations
- Align Voting Behavior with Public Statements for Legislator Representation Learning
- Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks
- Directed Acyclic Graph Network for Conversational Emotion Recognition
- Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction
- Cross-lingual Text Classification with Heterogeneous Graph Neural Network
- Discovering Dialog Structure Graph for Open-Domain Dialog Generation
- Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer
- Semantic Representation for Dialogue Modeling
- DynaEval: Unifying Turn and Dialogue Level Evaluation
- A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech
- InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection
- Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge
- Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
- BASS: Boosting Abstractive Summarization with Unified Semantic Graph
- Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation
- Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning
- Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders
- Psycholinguistic Tripartite Graph Network for Personality Detection
- Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach
- Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem
- ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences
- Reasoning over Entity-Action-Location Graph for Procedural Text Understanding
- Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation
- Learning Faithful Representations of Causal Graphs
- GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling
- Enhancing Entity Boundary Detection for Better Chinese Named Entity Recognition
- Towards a Unified Framework for Fair and Stable Graph Representation Learning
- Generating Adversarial Examples with Graph Neural Networks
- Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification
- Unsupervised Constrained Community Detection via Self-Expressive Graph Neural Network
- Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
- Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
- Directional Graph Networks
- GRAND: Graph Neural Diffusion
- On Explainability of Graph Neural Networks via Subgraph Explorations
- GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
- GraphDF: A Discrete Flow Model for Molecular Graph Generation
- GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
- Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
- Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks
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- Training Graph Neural Networks with 1000 Layers
- Information Obfuscation of Graph Neural Networks
- Improving Breadth-Wise Backpropagation in Graph Neural Networks helps Learning Long-Range Dependencies
- E(n) Equivariant Graph Neural Networks
- A Unified Lottery Ticket Hypothesis for Graph Neural Networks
- Interpretable Stability Bounds for Spectral Graph Filters
- Graph Neural Networks Inspired by Classical Iterative Algorithms
- A Collective Learning Framework to Boost GNN Expressiveness for Node Classification
- Elastic Graph Neural Networks
- From Local Structures to Size Generalization in Graph Neural Networks
- Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
- Persistence Homology for Link Prediction: An Interactive View
- How Framelets Enhance Graph Neural Networks
- Graph Contrastive Learning Automated
- Self-supervised Graph-level Representation Learning with Local and Global Structure
- Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
- Breaking the Limits of Message Passing Graph Neural Networks
- Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
- Generative Causal Explanations for Graph Neural Networks
- Learning Intra-Batch Connections for Deep Metric Learning
- Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination
- Compositional Video Synthesis with Action Graphs
- Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
- Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
- Graph Mixture Density Networks
- GLSearch: Maximum Common Subgraph Detection via Learning to Search
- Stochastic Iterative Graph Matching
- Deep Latent Graph Matching
- Size-Invariant Graph Representations for Graph Classification Extrapolations
- Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
- Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning
- Automated Graph Representation Learning with Hyperparameter Importance Explanation
- Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
- Recovering AES Keys with a Deep Cold Boot Attack
- Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
- Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes
- Learning Asynchronous and Sparse Human-Object Interaction in Videos
- Binary Graph Neural Networks
- Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis
- Quantifying Explainers of Graph Neural Networks in Computational Pathology
- Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation
- Graph Stacked Hourglass Networks for 3D Human Pose Estimation
- Robust Point Cloud Registration Framework Based on Deep Graph Matching
- Deep Graph Matching under Quadratic Constraint
- Learning Graph Embeddings for Compositional Zero-shot Learning
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- Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
- Mutual Graph Learning for Camouflaged Object Detection
- Bi-GCN: Binary Graph Convolutional Network
- A Hyperbolic-to-Hyperbolic Graph Convolutional Network
- Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
- Combinatorial Learning of Graph Edit Distance via Dynamic Embedding
- DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking
- Bridge to Answer: Structure-aware Graph Interaction Network for Video Question Answering
- Neural Scene Graphs for Dynamic Scenes
- Relation-aware Instance Refinement for Weakly Supervised Visual Grounding
- Energy-Based Learning for Scene Graph Generation
- Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
- Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
- Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking
- SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences
- Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty
- Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos
- Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation
- Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection- Unsupervised Multi-Source Domain Adaptation for Person Re-Identification
- Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation
- Inferring CAD Modeling Sequences Using Zone Graphs
- StickyPillars: Robust and Efficient Feature Matching on Point Clouds using Graph Neural Networks
- PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
- Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction
- Roof-GAN: Learning to Generate Roof Geometry and Relations for Residential Houses
- 3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction
- SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction
- Sequential Graph Convolutional Network for Active Learning
- LayoutGMN: Neural Graph Matching for Structural Layout Similarity
- SOON: Scenario Oriented Object Navigation with Graph-based Exploration
- Graph Attention Tracking
- TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation
- Rethinking Graph Neural Network Search from Message-passing
- 3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management
- BRepNet: A topological message passing system for solid models
- Holistic 3D Scene Understanding From a Single Image With Implicit Representation
- Learning Graphs for Knowledge Transfer With Limited Labels
- DualGraph: A Graph-Based Method for Reasoning About Label Noise
- SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network
- ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning
- Self-Point-Flow: Self-Supervised Scene Flow Estimation From Point Clouds With Optimal Transport and Random Walk
- Few-Shot Incremental Learning With Continually Evolved Classifiers
- Graph-Based High-Order Relation Discovery for Fine-Grained Recognition
- Bottom-Up Shift and Reasoning for Referring Image Segmentation
- Mutual CRF-GNN for Few-Shot Learning
- Plan2Scene: Converting Floorplans to 3D Scenes
- End-to-End Rotation Averaging With Multi-Source Propagation
- Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation
- Graph-Based High-Order Relation Modeling for Long-Term Action Recognition
- NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go
- UV-Net: Learning From Boundary Representations
- Multi-Modal Relational Graph for Cross-Modal Video Moment Retrieval
- Representing Videos As Discriminative Sub-Graphs for Action Recognition
- Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
- FS-Net: Fast Shape-Based Network for Category-Level 6D Object Pose Estimation With Decoupled Rotation Mechanism
- FAIEr: Fidelity and Adequacy Ensured Image Caption Evaluation
- Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking
- Deep Active Surface Models
- Scene Essence
- Towards Accurate 3D Human Motion Prediction From Incomplete Observations
- Context Modeling in 3D Human Pose Estimation: A Unified Perspective
- HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps
- Keypoint-Graph-Driven Learning Framework for Object Pose Estimation
- Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition
- Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans
- Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
- Explicit Knowledge Incorporation for Visual Reasoning
- Primitive Representation Learning for Scene Text Recognition
- Towards Part-Based Understanding of RGB-D Scans
- To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels
- KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA
- Amalgamating Knowledge From Heterogeneous Graph Neural Networks
- TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations
- Fast End-to-End Learning on Protein Surfaces
- Hierarchical Layout-Aware Graph Convolutional Network for Unified Aesthetics Assessment
- Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis
- Person Re-Identification Using Heterogeneous Local Graph Attention Networks
- Learning a Proposal Classifier for Multiple Object Tracking
- Learning Fine-Grained Segmentation of 3D Shapes Without Part Labels
- Deep Occlusion-Aware Instance Segmentation With Overlapping BiLayers
- Picasso: A CUDA-Based Library for Deep Learning Over 3D Meshes
- QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
- Breadth First Reasoning Graph for Multi-hop Question Answering
- MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences
- Edge: Enriching Knowledge Graph Embeddings with External Text
- RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion
- DAGN: Discourse-Aware Graph Network for Logical Reasoning
- Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification
- Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures
- Integrating Lexical Information into Entity Neighbourhood Representations for Relation Prediction
- Inductive Topic Variational Graph Auto-Encoder for Text Classification
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- A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents
- Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning
- Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble
- ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parser
- Knowledge Router: Learning Disentangled Representations for Knowledge Graphs
- Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks
- Abstract Meaning Representation Guided Graph Encoding and Decoding for Joint Information Extraction
- Event Time Extraction and Propagation via Graph Attention Networks
- Enhancing Factual Consistency of Abstractive Summarization
- Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs
- Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network
- Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition
- Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network
- Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data
- Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters
- Modeling Human Mental States with an Entity-based Narrative Graph
- AMR Parsing with Action-Pointer Transformer
- Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network
- How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
- Combining Label Propagation and Simple Models out-performs Graph Neural Networks
- Adaptive Universal Generalized PageRank Graph Neural Network
- Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
- Accurate Learning of Graph Representations with Graph Multiset Pooling
- Collective Robustness Certificates
- Graph Coarsening with Neural Networks
- Language-Agnostic Representation Learning of Source Code from Structure and Context
- Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
- Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs
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- How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
- On the Bottleneck of Graph Neural Networks and its Practical Implications
- Simple Spectral Graph Convolution
- AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
- Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
- Learning Parametrised Graph Shift Operators
- Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective
- On Graph Neural Networks versus Graph-Augmented MLPs
- Expressive Power of Invariant and Equivariant Graph Neural Networks
- Graph Convolution with Low-rank Learnable Local Filters
- A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
- INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving
- Degree-Quant: Quantization-Aware Training for Graph Neural Networks
- Wasserstein Embedding for Graph Learning
- Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
- GraphCodeBERT: Pre-training Code Representations with Data Flow
- Discrete Graph Structure Learning for Forecasting Multiple Time Series
- Graph Edit Networks
- Spatio-Temporal Graph Scattering Transform
- Learning continuous-time PDEs from sparse data with graph neural networks
- Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
- Generative Scene Graph Networks
- Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues
- DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
- Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
- MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
- Learning from Protein Structure with Geometric Vector Perceptrons
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
- Neural representation and generation for RNA secondary structures
- Grounding Physical Object and Event Concepts Through Dynamic Visual Reasoning
- Combining Physics and Machine Learning for Network Flow Estimation
- Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
- Learning Mesh-Based Simulation with Graph Networks
- Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
- Learning to Represent Action Values as a Hypergraph on the Action Vertices
- Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
- My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
- Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
- CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
- Lossless Compression of Structured Convolutional Models via Lifting
- Directed Acyclic Graph Neural Networks
- Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
- On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
- Learning Hyperbolic Representations of Topological Features
- Graph Information Bottleneck for Subgraph Recognition
- Interpreting and Unifying Graph Neural Networks with An Optimization Framework
- On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
- Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
- TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks
- Pathfinder Discovery Networks for Neural Message Passing
- HDMI: High-order Deep Multiplex Infomax
- Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
- Lorentzian Graph Convolutional Neural Networks
- Distillation Framework Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge
- Improving Graph Neural Networks with Structural Adaptive Receptive Fields
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- Mixup for Node and Graph Classification
- Mixed-Curvature Multi-relational Graph Neural Network for Knowledge Graph Completion
- Improving Text Encoder via Graph Neural Network in Sponsored Search
- Graph Structure Estimation Neural Networks
- SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
- Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks
- Few-Shot Molecular Property Prediction
- CurGraph: Curriculum Learning for Graph Classification
- RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation
- REST: Reciprocal Framework for Spatiotemporal coupled predictions
- Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching
- AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph
- Network of Tensor Time Series
- Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
- Learning Fair Representations for Bipartite Graph based Recommendation
- Interest-aware Message-Passing GCN for Recommendation
- Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
- Multi-level Connection Enhanced Representation Learning for Script Event Prediction
- Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks
- ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases
- Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks
- Heterogeneous Graph Neural Network via Attribute Completion
- Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
- Graph Neural Networks for Friend Ranking in Large-scale Social Platforms
- Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks
- Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks
- ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases
- HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering
- Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading
- Learning Intents behind Interactions with Knowledge Graph for Recommendation
- Dual Side Deep Context-aware Modulation for Social Recommendation
- OntoZSL: Ontology-enhanced Zero-shot Learning
- Knowledge Embedding Based Graph Convolutional Network
- Compositional Question Answering via Hierarchical Graph Neural Networks
- Graph Topic Neural Network for Document Representation
- Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval
- RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network
- MIRA:Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks
- MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths
- Drug Package Recommendation via Interaction-aware Graph Induction
- Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection
- Improving Cyberbully Detection with User Interaction
- Mask-GVAE: Blind Denoising Graphs via Partition
- Large-scale Comb-K Recommendation
- Diversified Recommendation Through Similarity-Guided Graph Neural Networks
- Few-shot Network Anomaly Detection via Cross-network Meta-learning
- Graph Embedding for Recommendation against Attribute Inference Attacks
- Community Value Prediction in Social E-commerce
- GNEM: A Generic One-to-Set Neural Entity Matching Framework
- Target-adaptive Graph for Cross-target Stance Detection
- Predicting Customer Value with Social Relationships via Motif-based Graph Attention Networks
- Node Similarity Preserving Graph Convolutional Networks
- GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks
- Heterogeneous Hypergraph Embedding for Graph Classification
- HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification
- BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks
- Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks
- Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction
- Time-Series Event Prediction with Evolutionary State Graph
- Adversarial Immunization for Certifiable Robustness on Graphs
- Learning to Drop: Robust Graph Neural Network via Topological Denoising
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- Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information
- An Efficient and Effective Framework for Session-based Social Recommendation
- Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems
- Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation
- Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph
- DeepIS: Susceptibility Estimation on Social Networks
- Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning
- Identity-Aware Graph Neural Networks
- GraphMix: Improved Training of GNNs for Semi-Supervised Learning
- Graph Neural Networks with Heterophily
- GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks
- Communicative Message Passing for Inductive Relation Reasoning
- Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks
- Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs
- KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning
- Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks
- Learning Graph Neural Networks with Approximate Gradient Descent
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- Rethinking Graph Regularization for Graph Neural Networks
- Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
- Data Augmentation for Graph Neural Networks
- Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph
- Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
- Beyond Low-Frequency Information in Graph Convolutional Networks
- Why Do Attributes Propagate in Graph Convolutional Neural Networks?
- Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
- Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering
- Overcoming Catastrophic Forgetting in Graph Neural Networks
- Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
- Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
- Heterogeneous Graph Structure Learning for Graph Neural Networks
- Relation-Aware Graph Attention Model with Adaptive Self-Adversarial Training
- Adversarial Directed Graph Embedding
- SDGNN: Learning Node Representation for Signed Directed Networks
- Topology-Aware Correlations between Relations for Inductive Link Prediction in Knowledge Graphs
- Graph Heterogeneous Multi-Relational Recommendation
- Knowledge-Aware Coupled Graph Neural Network for Social Recommendation
- Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
- Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
- Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-Based Recommendation
- Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks
- Deep Graph Spectral Evolution Networks for Graph Topological Evolution
- Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction
- Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
- FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
- Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
- Hierarchical Graph Convolution Network for Traffic Forecasting
- GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aactionspects for Traffic Accident Risk Forecasting
- Hierarchical Graph Capsule Network
- Contrastive Self-supervised Learning for Graph Classification
- Deep Wasserstein Graph Discriminant Learning for Graph Classification
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
- Gene Regulatory Network Inference as Relaxed Graph Matching
- Proxy Graph Matching with Proximal Matching Networks
- IA-GM: A Deep Bidirectional Learning Method for Graph Matching
- Dynamic Knowledge Graph Alignment
- Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
- Neural Sentence Ordering Based on Constraint Graphs
- A Graph-Based Relevance Matching Model for Ad-Hoc Retrieval
- LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching
- EQG-RACE: Examination-Type Question Generation
- Graph-Based Tri-Attention Network for Answer Ranking in CQA
- Document-Level Relation Extraction with Reconstruction
- GDPNet: Refining Latent Multi-View Graph for Relation Extraction
- GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction
- Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
- Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification
- A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training
- Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
- Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder
- Story Ending Generation with Multi-Level Graph Convolutional Networks over Dependency Trees
- Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional Variational Autoencoder for Automatic Storytelling
- Transfer Graph Neural Networks for Pandemic Forecasting
- Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
- Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation
- Multi-Modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance
- Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory
- Multi-Scale Graph Fusion for Co-Saliency Detection
- Modular Graph Transformer Networks for Multi-Label Image Classification
- Interpretable Graph Capsule Networks for Object Recognition
- Consensus Graph Representation Learning for Better Grounded Image Captioning
- Disentangled Motif-Aware Graph Learning for Phrase Grounding
- Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning
- Movie Summarization via Sparse Graph Construction
- Structured Co-Reference Graph Attention for Video-Grounded Dialogue Analysis and Graph Neural Network
- Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers
- Deep Graph-Neighbor Coherence Preserving Network for Unsupervised Cross-Modal Retrieval
- Dual Adversarial Graph Neural Networks for Multi-Label Cross-Modal Retrieval
- Classification by Attention: Scene Graph Classification with Prior Knowledge
- Image-to-Image Retrieval by Learning Similarity between Scene Graphs
- Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus
- Scene Graph Embeddings Using Relative Similarity Supervision
- PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection
- Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation
- Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
- Temporal Relational Modeling with Self-Supervision for Action Segmentation
- Uncertain Graph Neural Networks for Facial Action Unit Detection
- Context-Aware Graph Convolution Network for Target Re-identification
- Unsupervised Domain Adaptation for Person Re-Identification via Heterogeneous Graph
- Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
- RSGNet: Relation Based Skeleton Graph Network for Crowded Scenes Pose Estimation
- MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
- GTA: Graph Truncated Attention for Retrosynthesis
- Cost-Aware Graph Generation: A Deep Bayesian Optimization Approach
- Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks
- NASGEM: Neural Architecture Search via Graph Embedding Method
- One-Shot Graph Neural Architecture Search with Dynamic Search Space
- Scalable Graph Networks for Particle Simulations
- Neural Relational Inference with Efficient Message Passing Mechanisms
- Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
- Inductive Graph Neural Networks for Spatiotemporal Kriging
- Graph Game Embedding
- Adversarial Permutation Guided Node Representations for Link Prediction
- Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
- Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
- Graph Neural Network to Dilute Outliers for Refactoring Monolith Application
- Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field
- Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank
- Learning to Pre-Train Graph Neural Networks
- Deep Metric Learning with Graph Consistency
- Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
- Enhancing Scientific Papers Summarization with Citation Graph
- Isolation Graph Kernel
- Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition