PPaperPicks

Hangyuan Du

11 papers at tracked venues · 6 at CORE A* · active 2025–2026

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Venues

AAAI ×5IJCAI ×5NeurIPS ×1

Frequent coauthors

Lixin Cui
×10
Lu Bai
×9
Ming Li
×8
Edwin R. Hancock
×8
Yue Wang
×5
Ziyu Lyu
×3
Feifei Qian
×3
Xinya Qin
×3
Liang Bai
×2
Weihong Zhang
×1
Xian Yang
×1
Rong Wang
×1

Papers

  1. CauVQ: Causal Vector Quantization for Graph OOD Generalization
    AAAI 2026 ·
    Weihong Zhang
    ,
    Liang Bai
    , Hangyuan Du,
    Xian Yang
  2. GCIB: Causal Intervention Guided Graph Information Bottleneck Framework
    AAAI 2026 · Hangyuan Du,
    Rong Wang
    ,
    Lixin Cui
    ,
    Gaoxia Jiang
    ,
    Liang Bai
    ,
    Wenjian Wang
  3. LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
    AAAI 2026 ·
    Lin Du
    ,
    Lu Bai
    ,
    Jincheng Li
    ,
    Lixin Cui
    , Hangyuan Du,
    Lichi Zhang
    ,
    Yuting Chen
    ,
    Zhao Li
  4. SSHPool: The Separated Subgraph-based Hierarchical Pooling
    AAAI 2026 ·
    Zhuo Xu
    ,
    Lu Bai
    ,
    Lixin Cui
    ,
    Ming Li
    , Hangyuan Du,
    Ziyu Lyu
    ,
    Yue Wang
    ,
    Edwin R. Hancock
  5. AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
    IJCAI 2025 ·
    Lu Bai
    ,
    Feifei Qian
    ,
    Lixin Cui
    ,
    Ming Li
    , Hangyuan Du,
    Yue Wang
    ,
    Edwin R. Hancock
  6. An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection
    IJCAI 2025 ·
    Zhehan Zhao
    ,
    Lu Bai
    ,
    Ming Li
    ,
    Lixin Cui
    , Hangyuan Du,
    Yue Wang
    ,
    Edwin R. Hancock
  7. DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
    AAAI 2025 ·
    Feifei Qian
    ,
    Lu Bai
    ,
    Lixin Cui
    ,
    Ming Li
    ,
    Ziyu Lyu
    , Hangyuan Du,
    Edwin R. Hancock
  8. DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
    IJCAI 2025 ·
    Xinya Qin
    ,
    Lu Bai
    ,
    Lixin Cui
    ,
    Ming Li
    ,
    Ziyu Lyu
    , Hangyuan Du,
    Edwin R. Hancock
  9. Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
    IJCAI 2025 ·
    Feifei Qian
    ,
    Lu Bai
    ,
    Lixin Cui
    ,
    Ming Li
    , Hangyuan Du,
    Yue Wang
    ,
    Edwin R. Hancock
  10. HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification
    IJCAI 2025 ·
    Xinya Qin
    ,
    Lu Bai
    ,
    Lixin Cui
    ,
    Ming Li
    , Hangyuan Du,
    Yue Wang
    ,
    Edwin R. Hancock
  11. MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
    NeurIPS 2025 ·
    Xinya Qin
    ,
    Lu Bai
    ,
    Lixin Cui
    ,
    Ming Li
    , Hangyuan Du,
    Edwin R. Hancock