| Neural collaborative filtering X He, L Liao, H Zhang, L Nie, X Hu, TS Chua Proceedings of the 26th international conference on world wide web, 173-182, 2017 | 4644 | 2017 |
| Neural Graph Collaborative Filtering X Wang, X He, M Wang, F Feng, TS Chua Proceedings of the 42th international ACM SIGIR conference on Research …, 2019 | 1517 | 2019 |
| LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation X He, K Deng, X Wang, Y Li, Y Zhang, M Wang Proceedings of the 43rd international ACM SIGIR conference on Research …, 2020 | 1244 | 2020 |
| Neural Factorization Machines for Sparse Predictive Analytics X He, TS Chua Proceedings of the 40th international ACM SIGIR conference on Research …, 2017 | 1115 | 2017 |
| KGAT: Knowledge Graph Attention Network for Recommendation X Wang, X He, Y Cao, M Liu, TS Chua Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 1069 | 2019 |
| Fast Matrix Factorization for Online Recommendation with Implicit Feedback X He, H Zhang, MY Kan, C Tat-Seng Proceedings of the 39th international ACM SIGIR conference on Research …, 2016 | 957 | 2016 |
| Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention J Chen, H Zhang, X He, L Nie, W Liu, TS Chua Proceedings of the 40th International ACM SIGIR conference on Research and …, 2017 | 718 | 2017 |
| Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks J Xiao, H Ye, X He, H Zhang, F Wu, TS Chua Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017 | 714 | 2017 |
| Explainable Reasoning over Knowledge Graphs for Recommendation X Wang, D Wang, C Xu, X He, Y Cao, TS Chua Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence …, 2019 | 505 | 2019 |
| TriRank: Review-Aware Explainable Recommendation By Modeling Aspects X He, T Chen, MY Kan, X Chen Proceedings of the 24th ACM International Conference on Information and …, 2015 | 460 | 2015 |
| Nais: Neural attentive item similarity model for recommendation X He, Z He, J Song, Z Liu, YG Jiang, TS Chua IEEE Transactions on Knowledge and Data Engineering 30 (12), 2354-2366, 2018 | 406 | 2018 |
| Attributed social network embedding L Liao, X He, H Zhang, TS Chua IEEE Transactions on Knowledge and Data Engineering, 2018 | 380 | 2018 |
| Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences Y Cao, X Wang, X He, TS Chua The World Wide Web Conference (WWW'19), 2019 | 354 | 2019 |
| A Simple Convolutional Generative Network for Next Item Recommendation F Yuan, A Karatzoglou, I Arapakis, JM Jose, X He Proceedings of the 12th ACM International Conference on Web Search and Data …, 2019 | 319 | 2019 |
| Adversarial personalized ranking for recommendation X He, Z He, X Du, TS Chua The 41st International ACM SIGIR conference on research & development in …, 2018 | 318 | 2018 |
| Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures W Lei, X Jin, Z Ren, X He, MY Kan, D Yin Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 315 | 2018 |
| Outer Product-based Neural Collaborative Filtering TSC Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang Proceedings of the Twenty-Seventh International Joint Conference on …, 2018 | 297* | 2018 |
| Self-supervised Graph Learning for Recommendation J Wu, X Wang, F Feng, X He, L Chen, J Lian, X Xie SIGIR 2021, 2021 | 285 | 2021 |
| Bias and debias in recommender system: A survey and future directions J Chen, H Dong, X Wang, F Feng, M Wang, X He ACM Transactions on Information Systems (TOIS 2022), 2022 | 281 | 2022 |
| Discrete collaborative filtering H Zhang, F Shen, W Liu, X He, H Luan, TS Chua Proceedings of the 39th international ACM SIGIR conference on Research …, 2016 | 260 | 2016 |
