| 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 | 432 | 2023 |
| Graph neural networks for recommender system C Gao, Y Zheng, N Li, Y Li, Y Qin, J Piao, Y Quan, J Chang, D Jin, X He, ... Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 247 | 2022 |
| 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 |
| Enhancing hypergraph neural networks with intent disentanglement for session-based recommendation Y Li, C Gao, H Luo, D Jin, Y Li Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 76 | 2022 |
| Dual contrastive network for sequential recommendation G Lin, C Gao, Y Li, Y Zheng, Z Li, D Jin, Y Li Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 28 | 2022 |
| Progressive feature interaction search for deep sparse network C Gao, Y Li, Q Yao, D Jin, Y Li Advances in Neural Information Processing Systems 34, 392-403, 2021 | 16 | 2021 |
| Automatically discovering user consumption intents in meituan Y Li, C Gao, X Du, H Wei, H Luo, D Jin, Y Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 14 | 2022 |
| Spatiotemporal-aware session-based recommendation with graph neural networks Y Li, C Gao, X Du, H Wei, H Luo, D Jin, Y Li Proceedings of the 31st ACM International Conference on Information …, 2022 | 12 | 2022 |
| DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction Y Li, C Gao, Q Yao, T Li, D Jin, Y Li IEEE 38th International Conference on Data Engineering (ICDE), 2022 | 10 | 2022 |
| Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives G Lin, C Gao, Y Li, Y Zheng, Z Li, D Jin, Y Li arXiv preprint arXiv:2209.08446, 2022 | 3 | 2022 |
| Inverse Learning with Extremely Sparse Feedback for Recommendation G Lin, C Gao, Y Zheng, Y Li, J Chang, Y Niu, Y Song, K Gai, Z Li, D Jin, ... Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 2 | 2024 |
| SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback K Zhang, T Shi, S Dai, X Zhang, Y Li, J Lu, X Zang, Y Song, J Xu Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 1 | 2024 |
Chen GaoBNRist, Tsinghua UniversityVerified email at tsinghua.edu.cn
