Asymmetric Graph Contrastive Learning

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:	contrastive learning graph neural networks graph representation learning
Online Access:	https://www.mdpi.com/2227-7390/11/21/4505

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