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 | 525* | 2023 |
Disentangling user interest and conformity for recommendation with causal embedding Y Zheng, C Gao, X Li, X He, Y Li, D Jin Proceedings of the Web Conference 2021, 2980-2991, 2021 | 373 | 2021 |
Sequential recommendation with graph neural networks J Chang, C Gao, Y Zheng, Y Hui, Y Niu, Y Song, D Jin, Y Li Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 372 | 2021 |
DGCN: Diversified recommendation with graph convolutional networks Y Zheng, C Gao, L Chen, D Jin, Y Li Proceedings of the web conference 2021, 401-412, 2021 | 138 | 2021 |
Causal inference in recommender systems: A survey and future directions C Gao, Y Zheng, W Wang, F Feng, X He, Y Li ACM Transactions on Information Systems 42 (4), 1-32, 2024 | 109 | 2024 |
Disentangling long and short-term interests for recommendation Y Zheng, C Gao, J Chang, Y Niu, Y Song, D Jin, Y Li Proceedings of the ACM web conference 2022, 2256-2267, 2022 | 105 | 2022 |
Price-aware recommendation with graph convolutional networks Y Zheng, C Gao, X He, Y Li, D Jin 2020 IEEE 36th International Conference on Data Engineering (ICDE), 133-144, 2020 | 94* | 2020 |
Spatial planning of urban communities via deep reinforcement learning Y Zheng, Y Lin, L Zhao, T Wu, D Jin, Y Li Nature Computational Science 3 (9), 748-762, 2023 | 68 | 2023 |
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 | 29 | 2022 |
Dvr: micro-video recommendation optimizing watch-time-gain under duration bias Y Zheng, C Gao, J Ding, L Yi, D Jin, Y Li, M Wang Proceedings of the 30th ACM International Conference on Multimedia, 334-345, 2022 | 24 | 2022 |
Artificial Intelligence for Complex Network: Potential, Methodology and Application J Ding*, C Liu*, Y Zheng*, Y Zhang*, Z Yu, R Li, H Chen, J Piao, H Wang, ... arXiv preprint arXiv:2402.16887, 2024 | 14 | 2024 |
Mixed attention network for cross-domain sequential recommendation G Lin, C Gao, Y Zheng, J Chang, Y Niu, Y Song, K Gai, Z Li, D Jin, Y Li, ... Proceedings of the 17th ACM international conference on web search and data …, 2024 | 13 | 2024 |
Road planning for slums via deep reinforcement learning Y Zheng*, H Su*, J Ding, D Jin, Y Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 13 | 2023 |
Dual-interest factorization-heads attention for sequential recommendation G Lin, C Gao, Y Zheng, J Chang, Y Niu, Y Song, Z Li, D Jin, Y Li Proceedings of the ACM Web Conference 2023, 917-927, 2023 | 10 | 2023 |
Bringing friends into the loop of recommender systems: an exploratory study J Piao, G Zhang, F Xu, Z Chen, Y Zheng, C Gao, Y Li Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-26, 2021 | 9 | 2021 |
MetroGNN: Metro network expansion with reinforcement learning H Su, Y Zheng, J Ding, D Jin, Y Li Companion Proceedings of the ACM Web Conference 2024, 650-653, 2024 | 5 | 2024 |
Rumor mitigation in social media platforms with deep reinforcement learning H Su, Y Zheng, J Ding, D Jin, Y Li Companion Proceedings of the ACM Web Conference 2024, 814-817, 2024 | 4 | 2024 |
UrbanWorld: An Urban World Model for 3D City Generation Y Shang, Y Lin, Y Zheng, H Fan, J Ding, J Feng, J Chen, L Tian, Y Li arXiv preprint arXiv:2407.11965, 2024 | 3 | 2024 |
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 |
Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning H Su*, Y Zheng*, J Ding, D Jin, Y Li Proceedings of the 32nd ACM International Conference on Advances in …, 2024 | 1 | 2024 |