- DropMessage: Unifying Random Dropping for Graph Neural Networks
- Random Walk Conformer: Learning Graph Representation from Long and Short Range
- DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks
- Multi-Domain Generalized Graph Meta Learning
- Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks
- Local-Global Defense against Unsupervised Adversarial Attacks on Graphs
- Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
- USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network
- Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
- Attribute and Structure Preserving Graph Contrastive Learning
- Neighbor Contrastive Learning on Learnable Graph Augmentation
- Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning
- GENNAPE: Towards Generalized Neural Architecture Performance Estimators
- Deep Graph Structural Infomax
- GLCC: A General Framework for Graph-Level Clustering
- Hard Sample Aware Network for Contrastive Deep Graph Clustering
- Scalable Attributed-Graph Subspace Clustering
- Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering
- Dual Label-Guided Graph Refinement for Multi-View Graph Clustering
- Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering
- Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
- Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator
- Topological Pooling on Graphs
- Interpolating Graph Pair to Regularize Graph Classification
- Learning Topology-Specific Experts for Molecular Property Prediction
- Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding
- Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems
- Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items
- Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction
- DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations
- Multi-Level Confidence Learning for Trustworthy Multimodal Classification
- GRIP: Graph Representation of Immune Repertoire Using Graph Neural Network and Transformer
- CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials
- Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework
- Boosting Graph Neural Networks via Adaptive Knowledge Distillation
- Universe Points Representation Learning for Partial Multi-Graph Matching
- Self-Supervised Bidirectional Learning for Graph Matching
- Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
- Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions
- Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton
- Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning
- FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning
- Inferring Patient Zero on Temporal Networks via Graph Neural Networks
- Asynchronous Event Processing with Local-Shift Graph Convolutional Network
- GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM
- Predicting Temporal Sets with Simplified Fully Connected Networks
- GMDNet: A Graph-Based Mixture Density Network for Estimating Packages’ Multimodal Travel Time Distribution
- Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
- Scalable Spatiotemporal Graph Neural Networks
- Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
- Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
- PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
- Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
- WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series
- T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation
- Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
- Data Imputation with Iterative Graph Reconstruction
- T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction
- On Generalized Degree Fairness in Graph Neural Networks
- Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
- Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection
- Social Relation Reasoning Based on Triangular Constraints
- Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
- Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network
- Simple and Efficient Heterogeneous Graph Neural Network
- Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
- Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis
- Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network
- Dynamic Heterogeneous Graph Attention Neural Architecture Search
- Heterogeneous Graph Masked Autoencoders
- Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks
- Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization
- Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards
- Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
- DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing
- Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs
- KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations
- Towards Complex Scenarios: Building End-to-End Task-Oriented Dialogue System across Multiple Knowledge Bases
- Relation-Aware Language-Graph Transformer for Question Answering
- A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension
- Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
- Joint Multimodal Entity-Relation Extraction Based on Edge-Enhanced Graph Alignment Network and Word-Pair Relation Tagging
- Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning
- Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing
- Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection
- Improving Interpretability via Explicit Word Interaction Graph Layer
- Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry
- RWEN-TTS: Relation-Aware Word Encoding Network for Natural Text-to-Speech Synthesis
- Continual Graph Convolutional Network for Text Classification
- Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
- LIMIP: Lifelong Learning to Solve Mixed Integer Programs
- Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment
- Robust Causal Graph Representation Learning against Confounding Effects
- AIO-P: Expanding Neural Performance Predictors beyond Image Classification
- MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis
- Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition
- Gradient-Based Graph Attention for Scene Text Image Super-resolution
- Leveraging Weighted Cross-Graph Attention for Visual and Semantic Enhanced Video Captioning Network
- Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection
- Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
- Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
- Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition
- Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition
- Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions
- Graph Structure Learning on User Mobility Data for Social Relationship Inference
- Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information
- Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
- A Set of Control Points Conditioned Pedestrian Trajectory Prediction
- Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework
- GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification
- Boundary Graph Neural Networks for 3D Simulations
- Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
- Generalizing Downsampling from Regular Data to Graphs
- Graph Ordering Attention Networks
- Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation
- Wasserstein Graph Distance Based on L1–Approximated Tree Edit Distance between Weisfeiler–Lehman Subtrees
- AlphaRoute: Large-Scale Coordinated Route Planning via Monte Carlo Tree Search
- Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search