Graph Contrastive Learning with Augmentations. - Yuning You; Tianlong Chen 001; Yongduo Sui; Ting Chen; Zhangyang Wang; Yang Shen 001 (NeurIPS, 2020)

GANs Can Play Lottery Tickets Too. - Xuxi Chen; Zhenyu Zhang 015; Yongduo Sui; Tianlong Chen 001 (ICLR, 2021)

A Unified Lottery Ticket Hypothesis for Graph Neural Networks. - Tianlong Chen 001; Yongduo Sui; Xuxi Chen; Aston Zhang; Zhangyang Wang (ICML, 2021)

Deconfounded Training for Graph Neural Networks. - Yongduo Sui; Xiang Wang 010; Jiancan Wu; Xiangnan He 001; Tat-Seng Chua (CoRR, 2021)

Towards Robust Detection and Segmentation Using Vertical and Horizontal Adversarial Training. - Yongduo Sui; Tianlong Chen 001; Pengfei Xia; Shuyao Wang; Bin Li 025 (IJCNN, 2022)

Causal Attention for Interpretable and Generalizable Graph Classification. - Yongduo Sui; Xiang Wang 010; Jiancan Wu; Min Lin; Xiangnan He 001; Tat-Seng Chua (KDD, 2022)

Adversarial Causal Augmentation for Graph Covariate Shift. - Yongduo Sui; Xiang Wang 010; Jiancan Wu; An Zhang 003; Xiangnan He 001 (CoRR, 2022)

Exploring lottery ticket hypothesis in media recommender systems. - Yanfang Wang; Yongduo Sui; Xiang Wang 010; Zhenguang Liu; Xiangnan He 001 (Int. J. Intell. Syst., 2022)

Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift. - Yongduo Sui; Qitian Wu; Jiancan Wu; Qing Cui; Longfei Li; Jun Zhou 011; Xiang Wang 010; Xiangnan He 001 (NeurIPS, 2023)

GIF: A General Graph Unlearning Strategy via Influence Function. - Jiancan Wu; Yi Yang 061; Yuchun Qian; Yongduo Sui; Xiang Wang 010; Xiangnan He 001 (WWW, 2023)

On the Opportunities of Green Computing: A Survey. - You Zhou; Xiujing Lin; Xiang Zhang 001; Maolin Wang 001; Gangwei Jiang; Huakang Lu; Yupeng Wu; Kai Zhang 038; Zhe Yang; Kehang Wang; Yongduo Sui; Fengwei Jia; et al. (CoRR, 2023)

Masked Graph Modeling with Multi- View Contrast. - Yanchen Luo; Sihang Li 002; Yongduo Sui; Junkang Wu; Jiancan Wu; Xiang Wang 010 (ICDE, 2024)

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. - Guibin Zhang; Yanwei Yue; Kun Wang 056; Junfeng Fang; Yongduo Sui; Kai Wang 036; Yuxuan Liang; Dawei Cheng; Shirui Pan; Tianlong Chen 001 (ICML, 2024)

Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation. - Shuyao Wang; Yongduo Sui; Jiancan Wu; Zhi Zheng 008; Hui Xiong 001 (WSDM, 2024)

EXGC: Bridging Efficiency and Explainability in Graph Condensation. - Junfeng Fang; Xinglin Li; Yongduo Sui; Yuan Gao 020; Guibin Zhang; Kun Wang 056; Xiang Wang 010; Xiangnan He 001 (WWW, 2024)

Graph Anomaly Detection with Bi-level Optimization. - Yuan Gao 020; Junfeng Fang; Yongduo Sui; Yangyang Li; Xiang Wang 010; Huamin Feng; Yongdong Zhang 001 (WWW, 2024)

Invariant Graph Learning for Causal Effect Estimation. - Yongduo Sui; Caizhi Tang; Zhixuan Chu; Junfeng Fang; Yuan Gao 020; Qing Cui; Longfei Li; Jun Zhou 011; Xiang Wang 010 (WWW, 2024)

Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning. - Shuyao Wang; Yongduo Sui; Chao Wang 086; Hui Xiong 001 (WWW, 2024)

EXGC: Bridging Efficiency and Explainability in Graph Condensation. - Junfeng Fang; Xinglin Li; Yongduo Sui; Yuan Gao 015; Guibin Zhang; Kun Wang 056; Xiang Wang 010; Xiangnan He 001 (CoRR, 2024)

Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization. - Wenyu Mao; Jiancan Wu; Haoyang Liu; Yongduo Sui; Xiang Wang 010 (CoRR, 2024)

Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. - Yongduo Sui; Wenyu Mao; Shuyao Wang; Xiang Wang 010; Jiancan Wu; Xiangnan He 001; Tat-Seng Chua (ACM Trans. Knowl. Discov. Data, 2024)

Inductive Lottery Ticket Learning for Graph Neural Networks. - Yongduo Sui; Xiang Wang 010; Tianlong Chen 001; Meng Wang 001; Xiangnan He 001; Tat-Seng Chua (J. Comput. Sci. Technol., 2024)

A Unified Invariant Learning Framework for Graph Classification. - Yongduo Sui; Jie Sun; Shuyao Wang; Zemin Liu; Qing Cui; Longfei Li; Xiang Wang 010 (KDD (1), 2025)

Grasp the Key Takeaways from Source Domain for Few Shot Graph Domain Adaptation. - Xiangwei Lv; Jingyuan Chen; Mengze Li 001; Yongduo Sui; Zemin Liu; Beishui Liao (WWW, 2025)

Unleashing the Power of Large Language Model for Denoising Recommendation. - Shuyao Wang; Zhi Zheng 008; Yongduo Sui; Hui Xiong 001 (WWW, 2025)

A Simple Data Augmentation for Graph Classification: A Perspective of Equivariance and Invariance. - Yongduo Sui; Shuyao Wang; Jie Sun; Zhiyuan Liu 010; Qing Cui; Longfei Li; Jun Zhou 011; Xiang Wang 010; Xiangnan He 001 (ACM Trans. Knowl. Discov. Data, 2025)