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pro vyhledávání: '"Zhang, Huaisong"'
Contrastive learning is a significant paradigm in graph self-supervised learning. However, it requires negative samples to prevent model collapse and learn discriminative representations. These negative samples inevitably lead to heavy computation, m
Externí odkaz:
http://arxiv.org/abs/2408.05087
Autor:
Zhao, Liyan, Du, Jianchao, Duan, Yuwei, Zang, Ya’ni, Zhang, Huaisong, Yang, Chunfen, Cao, Fengliang, Zhai, Guangxi
Publikováno v:
In Colloids and Surfaces B: Biointerfaces 1 September 2012 97:101-108
