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Evolving network representation learning based on random walks

Large-scale network mining and analysis is key to revealing the underlying dynamics of networks, not easily observable before. Lately, there is a fast-growing interest in learning low-dimensional continuous representations of networks that can be utilized to perform highly accurate and scalable grap...

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Detalles Bibliográficos
Autores principales: Heidari, Farzaneh, Papagelis, Manos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081665/
https://www.ncbi.nlm.nih.gov/pubmed/32215318
http://dx.doi.org/10.1007/s41109-020-00257-3