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Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs

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Hu, Yaofang, Wang, Wanjie and Yu, Yi (2022) Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs. Statistics and Computing, 32 (1). 19. doi:10.1007/s11222-022-10079-1 ISSN 0960-3174.

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Official URL: http://dx.doi.org/10.1007/s11222-022-10079-1

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Abstract

Graph matching is a fruitful area in terms of both algorithms and theories. Given two graphs G1=(V1,E1) and G2=(V2,E2), where V1 and V2 are the same or largely overlapped upon an unknown permutation π∗, graph matching is to seek the correct mapping π∗. In this paper, we exploit the degree information, which was previously used only in noiseless graphs and perfectly-overlapping Erdős–Rényi random graphs matching. We are concerned with graph matching of partially-overlapping graphs and stochastic block models, which are more useful in tackling real-life problems. We propose the edge exploited degree profile graph matching method and two refined variations. We conduct a thorough analysis of our proposed methods’ performances in a range of challenging scenarios, including coauthorship data set and a zebrafish neuron activity data set. Our methods are proved to be numerically superior than the state-of-the-art methods. The algorithms are implemented in the R (A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, 2020) package GMPro (GMPro: graph matching with degree profiles, 2020).

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science, Engineering and Medicine > Science > Statistics
Library of Congress Subject Headings (LCSH): Matching theory, Graph theory, Stochastic models, Random graphs
Journal or Publication Title: Statistics and Computing
Publisher: Springer
ISSN: 0960-3174
Official Date: 11 February 2022
Dates:
DateEvent
11 February 2022Published
19 January 2022Accepted
21 July 2021Submitted
Volume: 32
Number: 1
Number of Pages: 16
Article Number: 19
DOI: 10.1007/s11222-022-10079-1
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 15 March 2022
Date of first compliant Open Access: 18 March 2022
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
R-155-000-214-114Singapore. Ministry of Educationhttp://viaf.org/viaf/132494909
EP/V013432/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266

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