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2020 – today
- 2024
[j2]Yongduo Sui
, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua:
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. ACM Trans. Knowl. Discov. Data 18(5): 127:1-127:24 (2024)- [c14]Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang:
Masked Graph Modeling with Multi- View Contrast. ICDE 2024: 2584-2597 - [c13]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. ICML 2024 - [c12]Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong:
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation. WSDM 2024: 740-749 - [c11]Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He:
EXGC: Bridging Efficiency and Explainability in Graph Condensation. WWW 2024: 721-732 - [c10]Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang:
Invariant Graph Learning for Causal Effect Estimation. WWW 2024: 2552-2562 - [c9]Shuyao Wang, Yongduo Sui, Chao Wang, Hui Xiong:
Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning. WWW 2024: 3745-3755 - [c8]Yuan Gao, Junfeng Fang, Yongduo Sui, Yangyang Li, Xiang Wang, Huamin Feng, Yongdong Zhang:
Graph Anomaly Detection with Bi-level Optimization. WWW 2024: 4383-4394 - [i12]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. CoRR abs/2402.01242 (2024) - [i11]Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong:
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation. CoRR abs/2402.02855 (2024) - [i10]Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He:
EXGC: Bridging Efficiency and Explainability in Graph Condensation. CoRR abs/2402.05962 (2024) - [i9]Wenyu Mao, Jiancan Wu, Haoyang Liu, Yongduo Sui, Xiang Wang:
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization. CoRR abs/2408.01697 (2024) - 2023
- [c7]Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He:
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift. NeurIPS 2023 - [c6]Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He:
GIF: A General Graph Unlearning Strategy via Influence Function. WWW 2023: 651-661 - [i8]Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He:
GIF: A General Graph Unlearning Strategy via Influence Function. CoRR abs/2304.02835 (2023) - [i7]You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng:
On the Opportunities of Green Computing: A Survey. CoRR abs/2311.00447 (2023) - 2022
- [j1]Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He:
Exploring lottery ticket hypothesis in media recommender systems. Int. J. Intell. Syst. 37(5): 3006-3024 (2022) - [c5]Yongduo Sui, Tianlong Chen, Pengfei Xia, Shuyao Wang, Bin Li:
Towards Robust Detection and Segmentation Using Vertical and Horizontal Adversarial Training. IJCNN 2022: 1-8 - [c4]Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua:
Causal Attention for Interpretable and Generalizable Graph Classification. KDD 2022: 1696-1705 - [i6]Yongduo Sui, Xiang Wang, Jiancan Wu, An Zhang, Xiangnan He:
Adversarial Causal Augmentation for Graph Covariate Shift. CoRR abs/2211.02843 (2022) - 2021
- [c3]Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen:
GANs Can Play Lottery Tickets Too. ICLR 2021 - [c2]Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang:
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. ICML 2021: 1695-1706 - [i5]Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang:
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. CoRR abs/2102.06790 (2021) - [i4]Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen:
GANs Can Play Lottery Tickets Too. CoRR abs/2106.00134 (2021) - [i3]Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He:
Exploring Lottery Ticket Hypothesis in Media Recommender Systems. CoRR abs/2108.00944 (2021) - [i2]Yongduo Sui, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua:
Deconfounded Training for Graph Neural Networks. CoRR abs/2112.15089 (2021) - 2020
- [c1]Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen:
Graph Contrastive Learning with Augmentations. NeurIPS 2020 - [i1]Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen:
Graph Contrastive Learning with Augmentations. CoRR abs/2010.13902 (2020)
Coauthor Index
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