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• 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
• Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
  2022 · 7 citations
• GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
  2023 · 4 citations
• Learning Attribute-Structure Co-Evolutions in Dynamic Graphs
  2020 · 2 citations
• Graph Transformers for Large Graphs
  2023 · 2 citations
• A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
  2023 · 1 citations
• One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
  2024
• Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
  2019
• A Unified View on Graph Neural Networks as Graph Signal Denoising
  2020
• Node Duplication Improves Cold-start Link Prediction
  2024
• Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
  2024