Community detection in networks using graph embeddings
Abstract
Graph embedding methods are becoming increasingly popular in the machine learning community, where they are widely used for tasks such as node classification and link prediction. Embedding graphs in geometric spaces should aid the identification of network communities as well, because nodes in the same community should be projected close to each other in the geometric space, where they can be detected via standard data clustering algorithms. In...
Paper Details
Title
Community detection in networks using graph embeddings
Published Date
Feb 22, 2021
Journal
Volume
103
Issue
2
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