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Lightning graph matching.

Authors :
Shen, Binrui
Niu, Qiang
Zhu, Shengxin
Source :
Journal of Computational & Applied Mathematics. Jan2025, Vol. 454, pN.PAG-N.PAG. 1p.
Publication Year :
2025

Abstract

The spectral matching algorithm is a classic method for finding correspondences between two graphs, a fundamental task in pattern recognition. It has a time complexity of O (n 4) and a space complexity of O (n 4) , where n is the number of nodes. However, such complexity limits its applicability to large-scale graph matching tasks. This paper proposes a redesign of the algorithm by transforming the graph matching problem into a one-dimensional linear assignment problem. This transformation enables efficient solving by sorting two n × 1 vectors. The resulting algorithm is named the Lightning Spectral Assignment Method (LiSA), which enjoys a complexity of O (n 2). Numerical experiments demonstrate the efficiency of LiSA, supported by theoretical analysis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03770427
Volume :
454
Database :
Academic Search Index
Journal :
Journal of Computational & Applied Mathematics
Publication Type :
Academic Journal
Accession number :
179170998
Full Text :
https://doi.org/10.1016/j.cam.2024.116189