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• FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
  2018 · 458 citations
• When Does A Spectral Graph Neural Network Fail in Node Classification?
  2022 · 6 citations
• Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
  2020 · 4 citations
• BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network
  2021 · 2 citations
• Understanding and Tackling Over-Dilution in Graph Neural Networks
  2025 · 1 citations
• What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
  2024 · 1 citations
• When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected
  2025
• Enhancing Graph Representation Learning with Localized Topological Features
  2025
• EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  2019
• Multilevel Graph Matching Networks for Deep Graph Similarity Learning
  2020
• Cycle Invariant Positional Encoding for Graph Representation Learning
  2023