- Interpreting and Unifying Graph Neural Networks with An Optimization Framework
- On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
- 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
- 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
- Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
- Mixup for Node and Graph Classification
- TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks
- 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
- Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
- Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
- 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
- Lorentzian Graph Convolutional Neural Networks
- Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading
- Mixed-Curvature Multi-relational Graph Neural Network for Knowledge Graph Completion
- Learning Intents behind Interactions with Knowledge Graph for Recommendation
- Dual Side Deep Context-aware Modulation for Social Recommendation
- RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network
- OntoZSL: Ontology-enhanced Zero-shot Learning
- Knowledge Embedding Based Graph Convolutional Network
- Compositional Question Answering via Hierarchical Graph Neural Networks
- Improving Text Encoder via Graph Neural Network in Sponsored Search
- Graph Topic Neural Network for Document Representation
- Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval
- MIRA:Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks
- Multi-level Connection Enhanced Representation Learning for Script Event Prediction
- 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