Heterogeneous global graph neural networks for personalized session-based recommendation Y Pang, L Wu, Q Shen, Y Zhang, Z Wei, F Xu, E Chang, B Long, J Pei Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 143 | 2022 |
Multiple choice questions based multi-interest policy learning for conversational recommendation Y Zhang, L Wu, Q Shen, Y Pang, Z Wei, F Xu, B Long, J Pei Proceedings of the ACM Web Conference 2022, 2153-2162, 2022 | 53 | 2022 |
Graph learning augmented heterogeneous graph neural network for social recommendation Y Zhang, L Wu, Q Shen, Y Pang, Z Wei, F Xu, E Chang, B Long ACM Transactions on Recommender Systems 1 (4), 1-22, 2023 | 23 | 2023 |
Temporal aware multi-interest graph neural network for session-based recommendation Q Shen, S Zhu, Y Pang, Y Zhang, Z Wei Asian Conference on Machine Learning, 2023 | 20 | 2023 |
Intention adaptive graph neural network for category-aware session-based recommendation C Cui, Q Shen, S Zhu, Y Pang, Y Zhang, H Gao, Z Wei International Conference on Database Systems for Advanced Applications, 150-165, 2022 | 12 | 2022 |
Multi-behavior graph contextual aware network for session-based recommendation Q Shen, L Wu, Y Pang, Y Zhang, Z Wei, F Xu, B Long arXiv preprint arXiv:2109.11903, 2021 | 11 | 2021 |
DACNN: Dynamic attentive convolution neural network for news recommendation Y Pang, J Tong, Y Zhang, Z Wei Proceedings of the 2020 5th International Conference on Mathematics and …, 2020 | 2 | 2020 |
Time-Aware Attentive Neural Network for News Recommendation with Long-and Short-Term User Representation Y Pang, Y Zhang, J Tong, Z Wei Knowledge Science, Engineering and Management: 13th International Conference …, 2020 | 1 | 2020 |
Multi-view User Preference Learning with Knowledge Graph for Recommendation Y Zhang, Y Pang, Z Wei 2022 IEEE 2nd International Conference on Information Communication and …, 2022 | | 2022 |