Exploring Kdd 2023 Rethinking Homophily In Graph Contrastive Learning
If you are looking for information about Kdd 2023 Rethinking Homophily In Graph Contrastive Learning, you have come to the right place.
- Yi Fang, Department of Computer Science New York University.
- Full title: SimCGE: Simple
- Our github repo: https://github.com/zyzisastudyreallyhardguy/
- Authors: Yanqiao Zhu: Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences; Yichen ...
- Ruizhong Qiu, University of Illinois Urbana-Champaign.
In-Depth Information on Kdd 2023 Rethinking Homophily In Graph Contrastive Learning
Wen-Zhi Li, Sun Yat-sen University. Yeonjun In, KAIST. Yangqin Jiang, University of Hong Kong. William Shiao, University of California, Riverside.
Gaotang Li, University of Michigan, Ann Arbor.
We hope this detailed breakdown of Kdd 2023 Rethinking Homophily In Graph Contrastive Learning was helpful.
