Shiwen Wu
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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
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
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
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
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
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
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
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