Community Detection Using Deep Learning: Combining Variational Graph Autoencoders with Leiden and K-Truss Techniques

Deep learning struggles with unsupervised tasks like community detection in networks. This work proposes the Enhanced Community Detection with Structural Information VGAE (VGAE-ECF) method, a method that enhances variational graph autoencoders (VGAEs) for community detection in large networks. It in...

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Bibliografiska uppgifter

Huvudupphov:	Jyotika Hariom Patil, Petros Potikas, William B. Andreopoulos, Katerina Potika
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2024-09-01
Serie:	Information
Ämnen:	community detection deep learning variational graph autoencoders Leiden algorithm K-truss
Länkar:	https://www.mdpi.com/2078-2489/15/9/568
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