Graph Clustering with High-Order Contrastive Learning

Graph clustering is a fundamental and challenging task in unsupervised learning. It has achieved great progress due to contrastive learning. However, we find that there are two problems that need to be addressed: (1) The augmentations in most graph contrastive clustering methods are manual, which ca...

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Bibliographic Details
Published in:	Entropy
Main Authors:	Wang Li, En Zhu, Siwei Wang, Xifeng Guo
Format:	Article
Language:	English
Published:	MDPI AG 2023-10-01
Subjects:	graph clustering unsupervised learning contrastive learning augmentation
Online Access:	https://www.mdpi.com/1099-4300/25/10/1432

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