Unveiling community structures in static networks through graph variational Bayes with evolution information

With the rapid development of graph variational Bayes theory, some representative community detection methods have been proposed. Although these methods are well designed, they are limited by the inherent constraints of static networks. Therefore, how to re-examine the information in static networks...

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Vydáno v:	Neurocomputing (Amsterdam) Ročník 576; s. 127349
Hlavní autoři:	Cheng, Junwei, He, Chaobo, Han, Kunlin, Chen, Gangbin, Liang, Wanying, Tang, Yong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.04.2024
Témata:	Community detection Evolution information K-core decomposition Mixture of Gaussian distributions Variational graph autoencoder Community detection K-core decomposition Variational graph autoencoder Evolution information Mixture of Gaussian distributions
ISSN:	0925-2312, 1872-8286
On-line přístup:	Získat plný text
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