| Graph neural networks in recommender systems: a survey S Wu, F Sun, W Zhang, X Xie, B Cui ACM Computing Surveys 55 (5), 1-37, 2022 | 1142 | 2022 |
| Contrastive learning for sequential recommendation X Xie, F Sun, Z Liu, S Wu, J Gao, J Zhang, B Ding, B Cui 2022 IEEE 38th international conference on data engineering (ICDE), 1259-1273, 2022 | 527 | 2022 |
| Garg: anonymous recommendation of point-of-interest in mobile networks by graph convolution network S Wu, Y Zhang, C Gao, K Bian, B Cui Data Science and Engineering 5, 433-447, 2020 | 69 | 2020 |
| CausCF: Causal collaborative filtering for recommendation effect estimation X Xie, Z Liu, S Wu, F Sun, C Liu, J Chen, J Gao, B Cui, B Ding Proceedings of the 30th ACM International Conference on Information …, 2021 | 15 | 2021 |
| Enhanced review-based rating prediction by exploiting aside information and user influence S Wu, Y Zhang, W Zhang, K Bian, B Cui Knowledge-Based Systems 222, 107015, 2021 | 7 | 2021 |
| Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution S Wu, Q Wu, H Dong, W Hua, X Zhou Proceedings of the VLDB Endowment 17 (3), 292-304, 2023 | 1 | 2023 |
| MeGraph: capturing long-range interactions by alternating local and hierarchical aggregation on multi-scaled graph hierarchy H Dong, J Xu, Y Yang, R Zhao, S Wu, C Yuan, X Li, CJ Maddison, L Han Advances in Neural Information Processing Systems 36, 63609-63641, 2023 | | 2023 |
Bin CUIProfessor of Computer Science, Peking University在 pku.edu.cn 的电子邮件经过验证
