| 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 and …, 2020 | 3968 | 2020 |
| Neural graph collaborative filtering X Wang, X He, M Wang, F Feng, TS Chua Proceedings of the 42nd international ACM SIGIR conference on Research and …, 2019 | 3420 | 2019 |
| 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 | 2220 | 2019 |
| Self-supervised graph learning for recommendation J Wu, X Wang, F Feng, X He, L Chen, J Lian, X Xie Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 1261 | 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 41 (3), 1-39, 2023 | 941 | 2023 |
| Explainable reasoning over knowledge graphs for recommendation X Wang, D Wang, C Xu, X He, Y Cao, TS Chua Proceedings of the AAAI conference on artificial intelligence 33 (01), 5329-5336, 2019 | 876 | 2019 |
| Unifying knowledge graph learning and recommendation: Towards a better understanding of user preferences Y Cao, X Wang, X He, Z Hu, TS Chua The world wide web conference, 151-161, 2019 | 666 | 2019 |
| MMGCN: Multi-modal graph convolution network for personalized recommendation of micro-video Y Wei, X Wang, L Nie, X He, R Hong, TS Chua Proceedings of the 27th ACM international conference on multimedia, 1437-1445, 2019 | 665 | 2019 |
| Disentangled graph collaborative filtering X Wang, H Jin, A Zhang, X He, T Xu, TS Chua Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 608 | 2020 |
| Learning intents behind interactions with knowledge graph for recommendation X Wang, T Huang, D Wang, Y Yuan, Z Liu, X He, TS Chua Proceedings of the web conference 2021, 878-887, 2021 | 481 | 2021 |
| Temporal relational ranking for stock prediction F Feng, X He, X Wang, C Luo, Y Liu, TS Chua ACM Transactions on Information Systems (TOIS) 37 (2), 1-30, 2019 | 444 | 2019 |
| Outer product-based neural collaborative filtering X He, X Du, X Wang, F Tian, J Tang, TS Chua arXiv preprint arXiv:1808.03912, 2018 | 415 | 2018 |
| A survey on accuracy-oriented neural recommendation: From collaborative filtering to information-rich recommendation L Wu, X He, X Wang, K Zhang, M Wang IEEE Transactions on Knowledge and Data Engineering 35 (5), 4425-4445, 2022 | 405* | 2022 |
| Deep item-based collaborative filtering for top-n recommendation F Xue, X He, X Wang, J Xu, K Liu, R Hong ACM Transactions on Information Systems (TOIS) 37 (3), 1-25, 2019 | 353 | 2019 |
| Smart contract vulnerability detection using graph neural networks Y Zhuang, Z Liu, P Qian, Q Liu, X Wang, Q He Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 339 | 2021 |
| Attentive moment retrieval in videos M Liu, X Wang, L Nie, X He, B Chen, TS Chua The 41st international ACM SIGIR conference on research & development in …, 2018 | 320 | 2018 |
| Item silk road: Recommending items from information domains to social users X Wang, X He, L Nie, TS Chua Proceedings of the 40th International ACM SIGIR conference on Research and …, 2017 | 310 | 2017 |
| Contrastive learning for cold-start recommendation Y Wei, X Wang, Q Li, L Nie, Y Li, X Li, TS Chua Proceedings of the 29th ACM International Conference on Multimedia, 5382-5390, 2021 | 304 | 2021 |
| Discovering invariant rationales for graph neural networks YX Wu, X Wang, A Zhang, X He, TS Chua arXiv preprint arXiv:2201.12872, 2022 | 284 | 2022 |
| Tem: Tree-enhanced embedding model for explainable recommendation X Wang, X He, F Feng, L Nie, TS Chua Proceedings of the 2018 world wide web conference, 1543-1552, 2018 | 281 | 2018 |
Xiangnan HeUniversity of Science and Technology of China, School of Data ScienceZweryfikowany adres z ustc.edu.cn