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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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Hoofdauteurs: Jyotika Hariom Patil, Petros Potikas, William B. Andreopoulos, Katerina Potika
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2024-09-01
Reeks:Information
Onderwerpen:
community detection
deep learning
variational graph autoencoders
Leiden algorithm
K-truss
Online toegang:https://www.mdpi.com/2078-2489/15/9/568
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