Literature DB >> 33343893

Matchability of heterogeneous networks pairs.

Vince Lyzinski1, Daniel L Sussman2.   

Abstract

We consider the problem of graph matchability in non-identically distributed networks. In a general class of edge-independent networks, we demonstrate that graph matchability can be lost with high probability when matching the networks directly. We further demonstrate that under mild model assumptions, matchability is almost perfectly recovered by centering the networks using universal singular value thresholding before matching. These theoretical results are then demonstrated in both real and synthetic simulation settings. We also recover analogous core-matchability results in a very general core-junk network model, wherein some vertices do not correspond between the graph pair.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.

Keywords:  graph matching; random graphs; singular value thresholding

Year:  2020        PMID: 33343893      PMCID: PMC7737166          DOI: 10.1093/imaiai/iaz031

Source DB:  PubMed          Journal:  Inf inference        ISSN: 2049-8764


  12 in total

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