| 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 | 2172 | 2020 |
| 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 | 187 | 2021 |
| 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 | 151 | 2021 |
| GANs Can Play Lottery Tickets Too X Chen, Z Zhang, Y Sui, T Chen International Conference on Learning Representation (ICLR), 2021 | 58 | 2021 |
| 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 | 40 | 2023 |
| 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 | 37* | 2023 |
| Exgc: Bridging efficiency and explainability in graph condensation J Fang, X Li, Y Sui, Y Gao, G Zhang, K Wang, X Wang, X He Proceedings of the ACM on Web Conference 2024, 721-732, 2024 | 19 | 2024 |
| 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 | 17 | 2021 |
| 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 | 13 | 2023 |
| 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 | 12 | 2024 |
| 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 | 11 | 2022 |
| 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 | 9 | 2024 |
| 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 | 9 | 2022 |
| Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning S Wang, Y Sui, C Wang, H Xiong Proceedings of the ACM on Web Conference 2024, 3745-3755, 2024 | 4 | 2024 |
| 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 18 (5), 1-24, 2024 | 3 | 2024 |
| Graph Anomaly Detection with Bi-level Optimization Y Gao, J Fang, Y Sui, Y Li, X Wang, H Feng, Y Zhang Proceedings of the ACM on Web Conference 2024, 4383-4394, 2024 | 2 | 2024 |
| Masked Graph Modeling with Multi-View Contrast Y Luo, S Li, Y Sui, J Wu, J Wu, X Wang ICDE, 2024 | 2 | 2024 |
| Invariant Graph Learning for Causal Effect Estimation Y Sui, C Tang, Z Chu, J Fang, Y Gao, Q Cui, L Li, J Zhou, X Wang Proceedings of the ACM on Web Conference 2024, 2552-2562, 2024 | 1 | 2024 |
| Invariant Graph Learning for Treatment Effect Estimation from Networked Observational Data Y Sui, C Tang, Z Chu, J Fang, Y Gao, Q Cui, L Li, JUN ZHOU, X Wang The Web Conference 2024, 0 | 1 | |
| Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization W Mao, J Wu, H Liu, Y Sui, X Wang arXiv preprint arXiv:2408.01697, 2024 | | 2024 |
Xiang WangUniversity of Science and Technology of ChinaBestätigte E-Mail-Adresse bei ustc.edu.cn