Graph autoencoder (GAE) for community detection in social networks

Community detection in networks is essential for understanding the underlying structure and relationships among nodes. Existing methods for community detection often face challenges in capturing the intricate structure and spatial proximity of nodes in real-world networks. This paper proposes a grap...

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Vydané v:	International journal of data science and analytics Ročník 20; číslo 4; s. 3693 - 3705
Hlavní autori:	Joshi, Pratibha, Singh, Buddha
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.10.2025 Springer Nature B.V
Predmet:	Artificial Intelligence Business Information Systems Cluster analysis Clustering Computational Biology/Bioinformatics Computer Science Data Mining and Knowledge Discovery Database Management Feature extraction Modularity Nodes Regular Paper Social networks Vector quantization Community detection Spatial feature GAE Network embedding
ISSN:	2364-415X, 2364-4168
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