Follow
Xiang Wang
Title
Cited by
Cited by
Year
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
28822020
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
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
18142019
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
8332021
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
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 41 (3), 1-39, 2023
6742023
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
5522019
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
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
Outer product-based neural collaborative filtering
X He, X Du, X Wang, F Tian, J Tang, TS Chua
arXiv preprint arXiv:1808.03912, 2018
3732018
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
3582019
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
3432021
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
3162019
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
3002017
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
2822018
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
275*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
2562018
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
2512021
Interactive path reasoning on graph for conversational recommendation
W Lei, G Zhang, X He, Y Miao, X Wang, L Chen, TS Chua
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
2242020
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
2212021
The system can't perform the operation now. Try again later.
Articles 1–20