Hangyuan Du

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Frequent coauthors

Papers

1. CauVQ: Causal Vector Quantization for Graph OOD Generalization
   AAAI 2026 ·

   Weihong Zhang

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2. GCIB: Causal Intervention Guided Graph Information Bottleneck Framework
   AAAI 2026 · Hangyuan Du
3. LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
   AAAI 2026 ·

   Lin Du

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4. SSHPool: The Separated Subgraph-based Hierarchical Pooling
   AAAI 2026 ·

   Zhuo Xu

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5. AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
   IJCAI 2025 ·

   Lu Bai

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6. An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection
   IJCAI 2025 ·

   Zhehan Zhao

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7. DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
   AAAI 2025 ·

   Feifei Qian

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8. DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
   IJCAI 2025 ·

   Xinya Qin

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9. Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
   IJCAI 2025 ·

   Feifei Qian

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10. HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification
    IJCAI 2025 ·

    Xinya Qin

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11. MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
    NeurIPS 2025 ·

    Xinya Qin

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