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• Heterogeneous Graph Attention Network
  2019 · 2854 citations
• Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
  2021 · 395 citations
• A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
  2020 · 42 citations
• Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
  2022 · 38 citations
• Interpreting and Unifying Graph Neural Networks with An Optimization Framework
  2021 · 28 citations
• Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
  2023 · 24 citations
• Beyond Low-frequency Information in Graph Convolutional Networks
  2021 · 22 citations
• Uncovering the Structural Fairness in Graph Contrastive Learning
  2022 · 20 citations
• A Survey on Spectral Graph Neural Networks
  2023 · 11 citations
• Heterogeneous Graph Neural Network for Recommendation
  2020 · 9 citations
• Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
  2021 · 9 citations
• Provable Training for Graph Contrastive Learning
  2023 · 5 citations
• Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
  2024 · 4 citations
• GraLSP: Graph Neural Networks with Local Structural Patterns
  2019 · 3 citations
• Debiased Graph Neural Networks with Agnostic Label Selection Bias
  2022 · 3 citations