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• Simple and Deep Graph Convolutional Networks
  2020 · 402 citations
• BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
  2021 · 30 citations
• Higher-order Weighted Graph Convolutional Networks
  2019 · 13 citations
• Graph Neural Networks Inspired by Classical Iterative Algorithms
  2021 · 13 citations
• Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
  2023 · 6 citations
• Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily
  2022 · 3 citations
• ASGNN: Graph Neural Networks with Adaptive Structure
  2022 · 2 citations
• Scaling Up Graph Neural Networks Via Graph Coarsening
  2021
• Implicit vs Unfolded Graph Neural Networks
  2021
• MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
  2023