Graph-enhanced spatial-temporal network for next POI recommendation Z Wang, Y Zhu, Q Zhang, H Liu, C Wang, T Liu ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-21, 2022 | 78 | 2022 |
Learning graph-based disentangled representations for next POI recommendation Z Wang, Y Zhu, H Liu, C Wang Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 65 | 2022 |
Adaptive graph representation learning for next POI recommendation Z Wang, Y Zhu, C Wang, W Ma, B Li, J Yu Proceedings of the 46th international ACM SIGIR conference on research and …, 2023 | 32 | 2023 |
Madm: A model-agnostic denoising module for graph-based social recommendation W Ma, Y Wang, Y Zhu, Z Wang, M Jing, X Zhao, J Yu, F Tang Proceedings of the 17th ACM international conference on web search and data …, 2024 | 9 | 2024 |
A preference learning decoupling framework for user cold-start recommendation C Wang, Y Zhu, A Sun, Z Wang, K Wang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 8 | 2023 |
Intention knowledge graph construction for user intention relation modeling J Bai, Z Wang, J Cheng, D Yu, Z Huang, W Wang, X Liu, C Luo, Q He, ... arXiv preprint arXiv:2412.11500, 2024 | 1 | 2024 |
Rethinking normals: Direction guided point cloud recognition K Liu, Y Zhu, Z Wang, K Wang, G Zhou ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
Graph Diffusion-Based Representation Learning for Sequential Recommendation Z Wang, Y Zhu, C Wang, X Zhao, B Li, J Yu, F Tang IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
Guiding Graph Learning with Denoised Modality for Multi-modal Recommendation Y Wang, W Ma, Y Zhu, C Wang, Z Wang, F Tang, J Yu International Conference on Database Systems for Advanced Applications, 220-235, 2024 | | 2024 |
Axis Order Invariance Learned from Point Clouds K Liu, Y Zhu, Z Wang, K Wang, G Zhou ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |