| 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 | 427 | 2023 |
| 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 | 77 | 2021 |
| Learning from hierarchical structure of knowledge graph for recommendation Y Qin, C Gao, S Wei, Y Wang, D Jin, J Yuan, L Zhang, D Li, J Hao, Y Li ACM Transactions on Information Systems 42 (1), 1-24, 2023 | 12 | 2023 |
| Disentangling geographical effect for point-of-interest recommendation Y Qin, C Gao, Y Wang, S Wei, D Jin, J Yuan, L Zhang IEEE Transactions on Knowledge and Data Engineering 35 (8), 7883-7897, 2022 | 9 | 2022 |
| Yong Li C Gao, Y Zheng, N Li, Y Li, Y Qin, J Piao, Y Quan, J Chang, D Jin, X He A survey of graph neural networks for recommender systems: Challenges …, 2021 | 5 | 2021 |
| Modeling Multi-Grained User Preference in Location Visitation Y Qin, C Gao, Z Tu, H Wu, S Wei, Y Wang, L Zhang, Y Li Proceedings of the 31st ACM International Conference on Advances in …, 2023 | | 2023 |
