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Revisiting Volgenant-Jonker for Approximating Graph Edit Distance

Jones, William and Chawdhary, Aziem and King, Andy (2015) Revisiting Volgenant-Jonker for Approximating Graph Edit Distance. In: Liu, Cheng-Lin and Luo, B. and Kropatsch, W.G. and Cheng, J., eds. Graph-based Representations in Pattern Recognition. Lecture Notes in Computer Science, 9069 . Springer, pp. 98-107. ISBN 978-3-319-18223-0. E-ISBN 978-3-319-18224-7. (doi:10.1007/978-3-319-18224-7)

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http://dx.doi.org/10.1007/978-3-319-18224-7

Abstract

Although it is agreed that the Volgenant-Jonker (VJ) algorithm provides a fast way to approximate graph edit distance (GED), until now nobody has reported how the VJ algorithm can be tuned for this task. To this end, we revisit VJ and propose a series of refinements that improve both the speed and memory footprint without sacrificing accuracy in the GED approximation. We quantify the effectiveness of these optimisations by measuring distortion between control-flow graphs: a problem that arises in malware matching. We also document an unexpected behavioural property of VJ in which the time required to find shortest paths to unassigned nodes decreases as graph size increases, and explain how this phenomenon relates to the birthday paradox. Proceedings of 10th IAPR-TC-15 International Workshop, GbRPR 2015, Beijing, China, May 13-15, 2015.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-319-18224-7
Subjects: Q Science
Q Science > QA Mathematics (inc Computing science)
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Sciences > School of Computing > Programming Languages and Systems Group
Depositing User: Andy King
Date Deposited: 30 Mar 2015 16:28 UTC
Last Modified: 29 May 2019 14:23 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/47818 (The current URI for this page, for reference purposes)
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