Multi-view representation model based on graph autoencoder

Graph representation learning is a hot topic in non-Euclidean data in various domains, such as social networks, biological networks, etc. When some data labels are missing, graph autoencoder and graph variational autoencoder can perform outstanding abilities on node clustering or link prediction tas...

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Vydané v:	Information sciences Ročník 632; s. 439 - 453
Hlavní autori:	Li, Jingci, Lu, Guangquan, Wu, Zhengtian, Ling, Fuqing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.06.2023
Predmet:	Graph autoencoder Graph representation learning Multi-view learning Unsupervised learning Graph representation learning Graph autoencoder Unsupervised learning Multi-view learning
ISSN:	0020-0255, 1872-6291
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