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• A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
  2019 · 138 citations
• FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
  2021 · 104 citations
• Multi-View Graph Neural Networks for Molecular Property Prediction
  2020 · 35 citations
• Local Augmentation for Graph Neural Networks
  2021 · 19 citations
• Dirichlet Graph Variational Autoencoder
  2020 · 11 citations
• Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs
  2022 · 9 citations
• Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphs
  2019 · 8 citations
• Diffusion Models for Molecules: A Survey of Methods and Tasks
  2025 · 6 citations
• Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed
  2021 · 6 citations
• Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
  2025 · 5 citations
• Spectral Graph Attention Network with Fast Eigen-approximation
  2020 · 4 citations
• On Self-Distilling Graph Neural Network
  2020 · 3 citations
• Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
  2021 · 3 citations
• Large Language-Geometry Model: When LLM meets Equivariance
  2025 · 2 citations
• Hierarchical Graph Capsule Network
  2020 · 2 citations