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Quality-Aware Streaming Network Embedding with Memory Refreshing

Static network embedding has been widely studied to convert sparse structure information into a dense latent space. However, the majority of real networks are continuously evolving, and deriving the whole embedding for every snapshot is computationally intensive. To avoid recomputing the embedding o...

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Detalles Bibliográficos
Autores principales: Chen, Hsi-Wen, Shuai, Hong-Han, Wang, Sheng-De, Yang, De-Nian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206285/
http://dx.doi.org/10.1007/978-3-030-47426-3_35