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...
| Published in: | Entropy |
|---|---|
| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-10-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/1099-4300/25/10/1432 |