Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9014
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dc.contributor.authorKannan, M. Rajeshen_US
dc.contributor.authorPragada, Shivaramakrishnaen_US
dc.contributor.authorWANKHEDE, HITESHen_US
dc.date.accessioned2024-07-12T06:42:16Z-
dc.date.available2024-07-12T06:42:16Z-
dc.date.issued2024-11en_US
dc.identifier.citationDiscrete Applied Mathematics, 357, 264-273.en_US
dc.identifier.issn0166-218Xen_US
dc.identifier.issn1872-6771en_US
dc.identifier.urihttps://doi.org/10.1016/j.dam.2024.06.016en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9014-
dc.description.abstractIn 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.isoenen_US
dc.publisherElsevier B.V.en_US
dc.subjectAdjacency matrixen_US
dc.subjectCospectral graphsen_US
dc.subjectPartitioned tensor producten_US
dc.subjectReflexive and semi reflexive graphsen_US
dc.subjectUnfoldingen_US
dc.subject2024en_US
dc.subject2024-JUL-WEEK1en_US
dc.subjectTOC-JUL-2024en_US
dc.titleConstructing cospectral graphs by unfolding non-bipartite graphsen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Biologyen_US
dc.identifier.sourcetitleDiscrete Applied Mathematicsen_US
dc.publication.originofpublisherForeignen_US
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