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• Self-supervised Learning on Graphs: Deep Insights and New Direction
  2020 · 111 citations
• Graph Structure Learning for Robust Graph Neural Networks
  2020 · 49 citations
• Adversarial Attacks And Defenses On Graphs: A Review, A Tool And Empirical Studies
  2020 · 39 citations
• Toward Degree Bias in Embedding-Based Knowledge Graph Completion
  2023 · 22 citations
• Graph Condensation for Graph Neural Networks
  2021 · 20 citations
• TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
  2025 · 19 citations
• Node Similarity Preserving Graph Convolutional Networks
  2020 · 13 citations
• Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
  2023 · 13 citations
• Empowering Graph Representation Learning with Test-Time Graph Transformation
  2022 · 10 citations
• Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
  2022 · 9 citations
• Jointly Attacking Graph Neural Network And Its Explanations
  2021 · 6 citations
• Elastic Graph Neural Networks
  2021 · 5 citations
• Test-Time Training for Graph Neural Networks
  2022 · 4 citations
• Customized Graph Neural Networks
  2020 · 2 citations
• Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
  2024 · 1 citations