Improving Augmentation Consistency for Graph Contrastive Learning

Published: 2024, Last Modified: 15 Jan 2026Pattern Recognit. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A novel augmentation consistency perspective in Graph Contrastive Learning•Integrating semantic and structural properties to better capture node consistency•Maintaining augmentation consistency of positive node pairs for node classification
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