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1. AIA AIA Public

   [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He.

   Python 17

2. CAL CAL Public

   [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.

   Python 97 8

3. VITA-Group/Unified-LTH-GNN VITA-Group/Unified-LTH-GNN Public

   [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhangyang Wang

   Python 68 13

4. UIL UIL Public

   [KDD 2025] "A Unified Invariant Learning Framework for Graph Classification" by Yongduo Sui, Jie Sun, Shuyao Wang, Zemin Liu, Qing Cui, Longfei Li, Xiang Wang.

   Python 1

5. EI-GNN EI-GNN Public

   Code for "Equivariant and Invariant Cross-Data Augmentation for Generalizable Graph Classification"

   Python 2

6. Shen-Lab/GraphCL Shen-Lab/GraphCL Public

   [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

   Python 618 113