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Yongduo Sui
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Year
Graph Contrastive Learning with Augmentations
Y You, T Chen, Y Sui, T Chen, Z Wang, Y Shen
Advances in Neural Information Processing Systems (NeurIPS), 2020
16492020
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
T Chen*, Y Sui*, X Chen, A Zhang, Z Wang
(* Equal Contribution) International Conference on Machine Learning (ICML), 2021
1462021
Causal Attention for Interpretable and Generalizable Graph Classification
Y Sui, X Wang, J Wu, M Lin, X He, TS Chua
Proceedings of the 28th ACM SIGKDD, 2021
912021
GANs Can Play Lottery Tickets Too
X Chen, Z Zhang, Y Sui, T Chen
International Conference on Learning Representation (ICLR), 2021
542021
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift
Y Sui, Q Wu, J Wu, Q Cui, L Li, JUN ZHOU, X Wang, X He
Advances in Neural Information Processing Systems (NeurIPS), 2023
17*2023
GIF: A General Graph Unlearning Strategy via Influence Function
J Wu, Y Yang, Y Qian, Y Sui, X Wang, X He
Proceedings of the ACM Web Conference (WWW), 651-661, 2023
152023
Inductive Lottery Ticket Learning for Graph Neural Networks
Y Sui, X Wang, T Chen, X He, TS Chua
Journal of Computer Science and Technology (JCST), 2021
132021
On the opportunities of green computing: A survey
Y Zhou, X Lin, X Zhang, M Wang, G Jiang, H Lu, Y Wu, K Zhang, Z Yang, ...
arXiv preprint arXiv:2311.00447, 2023
82023
Towards robust detection and segmentation using vertical and horizontal adversarial training
Y Sui, T Chen, P Xia, S Wang, B Li
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
72022
Exploring lottery ticket hypothesis in media recommender systems
Y Wang, Y Sui, X Wang, Z Liu, X He
International Journal of Intelligent Systems 37 (5), 3006-3024, 2022
72022
Exgc: Bridging efficiency and explainability in graph condensation
J Fang, X Li, Y Sui, Y Gao, G Zhang, K Wang, X Wang, X He
arXiv preprint arXiv:2402.05962, 2024
32024
Two heads are better than one: Boosting graph sparse training via semantic and topological awareness
G Zhang, Y Yue, K Wang, J Fang, Y Sui, K Wang, Y Liang, D Cheng, ...
arXiv preprint arXiv:2402.01242, 2024
32024
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
S Wang, Y Sui, J Wu, Z Zheng, H Xiong
17th ACM International Conference on Web Search and Data Mining (WSDM), 2024
12024
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning
Y Sui, W Mao, S Wang, X Wang, J Wu, X He, TS Chua
ACM Transactions on Knowledge Discovery from Data, 2024
2024
Masked Graph Modeling with Multi-View Contrast
Y Luo, S Li, Y Sui, J Wu, J Wu, X Wang
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Articles 1–15