Semi-supervised overlapping community detection in attributed graph with graph convolutional autoencoder

[Display omitted] The architecture of our proposed method SSGCAE for semi-supervised overlapping community detection in attributed graph. •An end-to-end method SSGCAE for overlapping community detection is proposed.•SSGCAE is based on graph convolutional autoencoder driven by community detection.•SS...

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Vydané v:	Information sciences Ročník 608; s. 1464 - 1479
Hlavní autori:	He, Chaobo, Zheng, Yulong, Cheng, Junwei, Tang, Yong, Chen, Guohua, Liu, Hai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.08.2022
Predmet:	Attributed graph Graph convolutional autoencoder Graph neural networks Overlapping community detection Semi-supervised learning Graph neural networks Graph convolutional autoencoder Semi-supervised learning Attributed graph Overlapping community detection
ISSN:	0020-0255, 1872-6291
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