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Dynamic network embedding 2021 Feb

  • Network embedding Functional Data AnalysisMachine learningDimension reduction

About this problem

We proposed a method to summarize a dynamic network by representing individual nodes, whose connections are dynamic, with multivariate functions. At each time, a single node is represented by a lower-dimensional vector, where the dimension is much less than the number of nodes in the network. This allows easier visualizations or analyses on the time-varying networks.












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