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Constructing cospectral graphs by unfolding non-bipartite graphs

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dc.contributor.author Kannan, M. Rajesh en_US
dc.contributor.author Pragada, Shivaramakrishna en_US
dc.contributor.author WANKHEDE, HITESH en_US
dc.date.accessioned 2024-07-12T06:42:16Z
dc.date.available 2024-07-12T06:42:16Z
dc.date.issued 2024-11 en_US
dc.identifier.citation Discrete Applied Mathematics, 357, 264-273. en_US
dc.identifier.issn 0166-218X en_US
dc.identifier.issn 1872-6771 en_US
dc.identifier.uri https://doi.org/10.1016/j.dam.2024.06.016 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9014
dc.description.abstract In 2010, Butler introduced the unfolding operation on a bipartite graph to produce two bipartite graphs, which are cospectral for the adjacency and the normalized Laplacian matrices. In this article, we describe how the idea of unfolding a bipartite graph with respect to another bipartite graph can be extended to nonbipartite graphs. In particular, we describe how unfoldings involving reflexive bipartite, semi-reflexive bipartite, and multipartite graphs are used to obtain cospectral nonisomorphic graphs for the adjacency matrix. en_US
dc.language.iso en en_US
dc.publisher Elsevier B.V. en_US
dc.subject Adjacency matrix en_US
dc.subject Cospectral graphs en_US
dc.subject Partitioned tensor product en_US
dc.subject Reflexive and semi reflexive graphs en_US
dc.subject Unfolding en_US
dc.subject 2024 en_US
dc.subject 2024-JUL-WEEK1 en_US
dc.subject TOC-JUL-2024 en_US
dc.title Constructing cospectral graphs by unfolding non-bipartite graphs en_US
dc.type Article en_US
dc.contributor.department Dept. of Biology en_US
dc.identifier.sourcetitle Discrete Applied Mathematics en_US
dc.publication.originofpublisher Foreign en_US


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