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• Revisiting Heterophily For Graph Neural Networks
  2022 · 70 citations
• Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
  2021 · 44 citations
• Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
  2019 · 24 citations
• Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks
  2020 · 19 citations
• When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability
  2023 · 12 citations
• When Do We Need Graph Neural Networks for Node Classification?
  2022 · 9 citations
• Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks
  2022 · 5 citations
• The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
  2024 · 3 citations
• Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
  2024 · 1 citations
• Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
  2024
• Re-evaluating the Advancements of Heterophilic Graph Learning
  2024