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• Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
  2020 · 171 citations
• Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
  2021 · 25 citations
• Graph Neural Networks with Heterophily
  2020 · 9 citations
• On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
  2024 · 3 citations
• From Static to Dynamic Node Embeddings
  2020 · 2 citations
• TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
  2023 · 1 citations
• On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
  2023 · 1 citations
• Understanding GNNs and Homophily in Dynamic Node Classification
  2025
• Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding
  2021
• Learning node embeddings via summary graphs: a brief theoretical analysis
  2022
• Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training
  2023
• Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks
  2024