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Structural Equivalence in Subgraph Matching

delete2023-07-01
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OA
AI
D
Dominic Yang *
T
Thien Nguyen
D
Denali Molitor
J
Jacob D. Moorman
A
Andrea L. Bertozzi
DOI:10.1109/TNSE.2023.3236028delete
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Abstract

Abstract

En 中文
Symmetry plays a major role in subgraph matching both in the description of the graphs in question and in how it confounds the search process. This work addresses how to quantify these effects and how to use symmetries to increase the efficiency of subgraph isomorphism algorithms. We introduce rigorous definitions of structural equivalence and establish conditions for when it can be safely used to generate more solutions. We illustrate how to adapt standard search routines to utilize these symmetries to accelerate search and compactly describe the solution space. We then adapt a state-of-the-art solver and perform a comprehensive series of tests to demonstrate these methods' efficacy on a standard benchmark set. We extend these methods to multiplex graphs and present results on large multiplex networks drawn from transportation systems, social media, adversarial attacks, and knowledge graphs.
Keywords:
Subgraph isomorphism
subgraph matching
multiplex network
structural equivalence
graph structure

Journal

I
IEEE Transactions on Network Science and Engineering
IF:
7.9
Papers:
2.5K
Citations:
10.0K

Organization

U
university of california los angeles
Scholars:
5.3W
Papers: 4.2W
Citations: 89
University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K