The Power Mean Laplacian for Multilayer Graph Clustering

نویسندگان

  • Pedro Mercado
  • Antoine Gautier
  • Francesco Tudisco
  • Matthias Hein Saarland University
  • University of Strathclyde
چکیده

Multilayer graphs encode different kind of in-teractions between the same set of entities.When one wants to cluster such a multilayergraph, the natural question arises how oneshould merge the information from differentlayers. We introduce in this paper a one-parameter family of matrix power means formerging the Laplacians from different layersand analyze it in expectation in the stochas-tic block model. We show that this familyallows to recover ground truth clusters underdifferent settings and verify this in real worlddata. While computing the matrix powermean can be very expensive for large graphs,we introduce a numerical scheme to efficientlycompute its eigenvectors for the case of largesparse graphs.

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تاریخ انتشار 2018