Learning Graph Representations by Dendrograms

Thomas Bonald, Bertrand Charpentier

Sep 27, 2018 ICLR 2019 Conference Blind Submission readers: everyone Show Bibtex
  • Abstract: Hierarchical clustering is a common approach to analysing the multi-scale structure of graphs observed in practice. We propose a novel metric for assessing the quality of a hierarchical clustering. This metric reflects the ability to reconstruct the graph from the dendrogram encoding the hierarchy. The best representation of the graph for this metric in turn yields a novel hierarchical clustering algorithm. Experiments on both real and synthetic data illustrate the efficiency of the approach.
  • Keywords: Graph, hierarchical clustering, dendrogram, quality metric, reconstruction, entropy
  • TL;DR: Novel quality metric for hierarchical graph clustering
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