Multiplex graph matching matched filters

Author:

Pantazis KonstantinosORCID,Sussman Daniel L.,Park Youngser,Li Zhirui,Priebe Carey E.,Lyzinski Vince

Abstract

AbstractWe consider the problem of detecting a noisy induced multiplex template network in a larger multiplex background network. Our approach, which extends the graph matching matched filter framework of Sussman et al. (IEEE Trans Pattern Anal Mach Intell 42(11):2887–2900, 2019) to the multiplex setting, utilizes a multiplex analogue of the classical graph matching problem to use the template as a matched filter for efficiently searching the background for candidate template matches. The effectiveness of our approach is demonstrated both theoretically and empirically, with particular attention paid to the potential benefits of considering multiple channels in the multiplex framework.

Funder

U.S. Air Force

Defense Advanced Research Projects Agency

Lincoln Laboratory, Massachusetts Institute of Technology

U.S. Department of Defense

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computer Networks and Communications,Multidisciplinary

Reference77 articles.

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