Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/21311
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Spectral Reconstruction and Isomorphism of graphs using variable neighbourhood search
Author(s): Caporossi, Gilles
Cvetkovic, Dragos
Rowlinson, Peter
Contact Email: peter.rowlinson@stir.ac.uk
Keywords: spectral distance
graph angles
graph isomorphism
variable neighbourhood search
Issue Date: 2014
Date Deposited: 10-Dec-2014
Citation: Caporossi G, Cvetkovic D & Rowlinson P (2014) Spectral Reconstruction and Isomorphism of graphs using variable neighbourhood search. Bulletin, Classe des Sciences Mathematiques et Naturelles, Sciences Mathematiques, (39), pp. 23-38. https://www.jstor.org/stable/26359039
Abstract: The Euclidean distance between the eigenvalue sequences of graphs G and H, on the same number of vertices, is called the spectral distance between G and H. This notion is the basis of a heuristic algorithmfor reconstructing a graph with prescribed spectrum. By using a graph Γ constructed from cospectral graphs G and H, we can ensure that G and H are isomorphic if and only if the spectral distance between Γ and G + K2 is zero. This construction is exploited to design a heuristic algorithm for testing graph isomorphism. We present preliminary experimental results obtained by implementing these algorithms in conjunction with a meta-heuristic known as a variable neighbourhood search.
URL: https://www.jstor.org/stable/26359039
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