Proximity-Based Compression for Network Embedding

Network embedding that encodes structural information of graphs into a low-dimensional vector space has been proven to be essential for network analysis applications, including node classification and community detection. Although recent methods show promising performance for various applications, g...

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Bibliographic Details
Main Authors: Muhammad Ifte Islam, Farhan Tanvir, Ginger Johnson, Esra Akbas, Mehmet Emin Aktas
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Big Data
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2020.608043/full