| A survey of graph neural networks for recommender systems: Challenges, methods, and directions C Gao, Y Zheng, N Li, Y Li, Y Qin, J Piao, Y Quan, J Chang, D Jin, X He, ... ACM Transactions on Recommender Systems 1 (1), 1-51, 2023 | 161 | 2023 |
| Graph neural networks for recommender system C Gao, X Wang, X He, Y Li Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 154 | 2022 |
| Reinforced Negative Sampling for Recommendation with Exposure Data. J Ding, Y Quan, X He, Y Li, D Jin IJCAI, 2230-2236, 2019 | 121 | 2019 |
| Improving Implicit Recommender Systems with View Data. J Ding, G Yu, X He, Y Quan, Y Li, TS Chua, D Jin, J Yu IJCAI, 3343-3349, 2018 | 86 | 2018 |
| Simplify and robustify negative sampling for implicit collaborative filtering J Ding, Y Quan, Q Yao, Y Li, D Jin Advances in Neural Information Processing Systems 33, 1094-1105, 2020 | 82 | 2020 |
| Graph neural networks for recommender systems: Challenges, methods, and directions C Gao, Y Zheng, N Li, Y Li, Y Qin, J Piao, Y Quan, J Chang, D Jin, X He, ... arXiv preprint arXiv:2109.12843 1, 46-58, 2021 | 62 | 2021 |
| Tabgnn: Multiplex graph neural network for tabular data prediction X Guo, Y Quan, H Zhao, Q Yao, Y Li, W Tu arXiv preprint arXiv:2108.09127, 2021 | 16 | 2021 |
| Robust preference-guided denoising for graph based social recommendation Y Quan, J Ding, C Gao, L Yi, D Jin, Y Li Proceedings of the ACM Web Conference 2023, 1097-1108, 2023 | 15 | 2023 |
| Alleviating Video-length Effect for Micro-video Recommendation Y Quan, J Ding, C Gao, N Li, L Yi, D Jin, Y Li ACM Transactions on Information Systems 42 (2), 1-24, 2023 | | 2023 |
| Representative Negative Instance Generation for Online Ad Targeting Y Quan, J Ding, D Jin, J Yang, X Zhou, Y Li Proceedings of the 29th ACM International Conference on Information …, 2020 | | 2020 |
Yong LiAssociate Professor, Electronic Engineering, Tsinghua UniversityVerified email at tsinghua.edu.cn
