Self-supervised Graph Learning for Recommendation
Author:
Affiliation:
1. University of Science and Technology of China, Hefei, China
2. National University of Singapore, Singapore, Singapore
3. Sun Yat-sen University, Guangzhou, China
4. Microsoft Research Asia, Beijing, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3404835.3462862
Reference56 articles.
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2. Shumeet Baluja Rohan Seth D. Sivakumar Yushi Jing Jay Yagnik Shankar Kumar Deepak Ravichandran and Mohamed Aly. 2008. Video suggestion and discovery for youtube: taking random walks through the view graph. In WWW. 895--904. Shumeet Baluja Rohan Seth D. Sivakumar Yushi Jing Jay Yagnik Shankar Kumar Deepak Ravichandran and Mohamed Aly. 2008. Video suggestion and discovery for youtube: taking random walks through the view graph. In WWW. 895--904.
3. Immanuel Bayer Xiangnan He Bhargav Kanagal and Steffen Rendle. 2017. A Generic Coordinate Descent Framework for Learning from Implicit Feedback. In WWW. 1341--1350. Immanuel Bayer Xiangnan He Bhargav Kanagal and Steffen Rendle. 2017. A Generic Coordinate Descent Framework for Learning from Implicit Feedback. In WWW. 1341--1350.
4. Yixin Cao Xiang Wang Xiangnan He Zikun Hu and Tat-Seng Chua. 2019. Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. In WWW. 151--161. Yixin Cao Xiang Wang Xiangnan He Zikun Hu and Tat-Seng Chua. 2019. Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. In WWW. 151--161.
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