Asymmetric Graph Contrastive Learning

Learning effective graph representations in an unsupervised manner is a popular research topic in graph data analysis. Recently, contrastive learning has shown its success in unsupervised graph representation learning. However, how to avoid collapsing solutions for contrastive learning methods remai...

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Bibliographic Details
Main Authors: Xinglong Chang, Jianrong Wang, Rui Guo, Yingkui Wang, Weihao Li
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/21/4505