Node classification of complex network based on enhanced graph neural network and contrastive learning

Node classification methods of complex network are mostly realized based on node representation learned by the graph neural network, the graph neural network encodes local structure information of complex networks through neighborhood aggregation. However, the over-smoothing problem of the graph neu...

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Autori principali:	XU Peiling, WANG Yu, TAN Yanli
Natura:	Artigo
Lingua:	Chinês
Pubblicazione:	Beijing Xintong Media Co., Ltd 2025-08-01
Serie:	Dianxin kexue
Soggetti:	network node classification complex network graph neural network graph attention network contrastive learning
Accesso online:	http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025128/
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