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Xiangnan He
Tytuł
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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
66072017
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
28822020
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
27262019
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
18182019
Neural Factorization Machines for Sparse Predictive Analytics
X He, TS Chua
Proceedings of the 40th international ACM SIGIR conference on Research …, 2017
14142017
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
11682016
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
9422017
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
9192017
Self-supervised Graph Learning for Recommendation
J Wu, X Wang, F Feng, X He, L Chen, J Lian, X Xie
SIGIR 2021, 2021
8332021
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
7542019
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
6842022
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
5672015
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
5522019
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
5332018
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
5262019
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
5082019
Attributed social network embedding
L Liao, X He, H Zhang, TS Chua
IEEE Transactions on Knowledge and Data Engineering, 2018
4662018
Video question answering via gradually refined attention over appearance and motion
D Xu, Z Zhao, J Xiao, F Wu, H Zhang, X He, Y Zhuang
Proceedings of the 25th ACM international conference on Multimedia, 1645-1653, 2017
4662017
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
4652020
Adversarial personalized ranking for recommendation
X He, Z He, X Du, TS Chua
The 41st International ACM SIGIR conference on research & development in …, 2018
4122018
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