- Rethinking the Setting of Semi-supervised Learning on Graphs
- End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection
- Learning Label Initialization for Time-Dependent Harmonic Extension
- A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing
- Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders
- Hierarchical Diffusion Scattering Graph Neural Network
- Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network
- RAW-GNN: RAndom Walk Aggregation based Graph Neural Network
- Can Abnormality be Detected by Graph Neural Networks?
- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering
- Attributed Graph Clustering with Dual Redundancy Reduction
- 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
- A Simple yet Effective Method for Graph Classification
- GraphDIVE: Graph Classification by Mixture of Diverse Experts
- FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
- Filtration-Enhanced Graph Transformation
- Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification
- Proximity Enhanced Graph Neural Networks with Channel Contrast
- Multi-view Unsupervised Graph Representation Learning
- RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
- Contrastive Graph Transformer Network for Personality Detection
- Enhancing Sequential Recommendation with Graph Contrastive Learning
- Self-supervised Graph Neural Networks for Multi-behavior Recommendation
- Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors
- RoboGNN: Robustifying Node Classification under Link Perturbation
- Information Augmentation for Few-shot Node Classification
- Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
- CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
- Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs
- Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
- Personalized Federated Learning With a Graph
- Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting
- Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs
- Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning
- Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs
- Ensemble Multi-Relational Graph Neural Networks
- Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction
- Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure
- TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning
- MERIT: Learning Multi-level Representations on Temporal Graphs
- Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
- DyGRAIN: An Incremental Learning Framework for Dynamic Graphs
- Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation
- Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention
- Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning
- FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
- Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting
- Table2Graph: Transforming Tabular Data to Unified Weighted Graph
- Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks
- Hypergraph Structure Learning for Hypergraph Neural Networks 0- Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent Forecasting
- Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning
- SGAT: Simplicial Graph Attention Network
- Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation
- Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network
- Cross-modal Representation Learning and Relation Reasoning for Bidirectional Adaptive Manipulation
- Entity Alignment with Reliable Path Reasoning and Relation-aware Heterogeneous Graph Transformer
- RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation
- Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks
- Document-level Relation Extraction via Subgraph Reasoning
- Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction
- Relational Triple Extraction: One Step is Enough
- Interactive Information Extraction by Semantic Information Graph
- Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification
- Effective Graph Context Representation for Document-level Machine Translation
- Towards Discourse-Aware Document-Level Neural Machine Translation
- SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech
- Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning
- Grape: Grammar-Preserving Rule Embedding
- Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge
- Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation
- Emotion-Controllable Generalized Talking Face Generation
- Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
- Biological Instance Segmentation with a Superpixel-Guided Graph
- Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network
- GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning
- Raising the Bar in Graph-level Anomaly Detection
- Adaptive Long-Short Pattern Transformer for Stock Investment Selection
- Subsequence-based Graph Routing Network for Capturing Multiple Risk Propagation Processes
- Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies
- Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search
- On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration
- What Does My GNN Really Capture? On Exploring Internal GNN Representations
- Spiking Graph Convolutional Networks
- Learning Graph-based Residual Aggregation Network for Group Activity Recognition
- Initializing Then Refining: A Simple Graph Attribute Imputation Network
- EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment
- Multi-Graph Fusion Networks for Urban Region Embedding
- Plane Geometry Diagram Parsing
- Deep Graph Matching for Partial Label Learning
- Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph
- MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection