- Graph Representation Learning via Graphical Mutual Information Maximization
- Unsupervised Domain Adaptive Graph Convolutional Networks
- Structural Deep Clustering Network
- MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
- Heterogeneous Graph Transformer
- Identifying Referential Intention with Heterogeneous Contexts
- Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning
- Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction
- Collective Multi-type Entity Alignment Between Knowledge Graphs
- Open Knowledge Enrichment for Long-tail Entities
- GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation
- One2Multi Graph Autoencoder for Multi-view Graph Clustering
- Complex Factoid Question Answering with a Free-Text Knowledge Graph
- High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking
- Dynamic Graph Convolutional Networks for Entity Linking
- Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network
- Traffic Flow Prediction via Spatial Temporal Graph Neural Network
- Dynamic Flow Distribution Prediction for Urban Dockless E-Scooter Sharing Reconfiguration
- Towards Fine-grained Flow Forecasting: A Graph Attention Approach for Bike Sharing Systems
- Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach
- Adversarial Attack on Community Detection by Hiding Individuals