2003
DOI: 10.1016/s0024-3795(03)00483-x
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Which graphs are determined by their spectrum?

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Cited by 578 publications
(440 citation statements)
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References 55 publications
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“…The matrix D + A is called the signless Laplacian in [16], and it appears very rarely in published papers (see [5]), the paper [13] being almost the only relevant research paper published before 2003. Only recently has the signless Laplacian attracted the attention of researchers [4,8,11,10,16,26]. The present paper extends the survey [8] by providing further comments, proofs and conjectures.…”
Section: (L(g)) + 2i Where D Is the Diagonal Matrix Of Vertex Degreesupporting
confidence: 58%
See 1 more Smart Citation
“…The matrix D + A is called the signless Laplacian in [16], and it appears very rarely in published papers (see [5]), the paper [13] being almost the only relevant research paper published before 2003. Only recently has the signless Laplacian attracted the attention of researchers [4,8,11,10,16,26]. The present paper extends the survey [8] by providing further comments, proofs and conjectures.…”
Section: (L(g)) + 2i Where D Is the Diagonal Matrix Of Vertex Degreesupporting
confidence: 58%
“…Regular graphs can be recognized, and the degree of regularity and the number of components calculated, from Q G (λ), as noticed in [10]. In particular, we have the following proposition [8].…”
Section: Basic Properties Of Q-spectramentioning
confidence: 81%
“…Note that these graphs are not cospectral with respect to the distance matrix, but they are with respect to the adjacency Laplacian. It is known [25] that the adjacency and (adjacency) Laplacian spectra are equivalent over the class of degree regular graphs. A similar result for the distance and the distance Laplacian spectra over the class of transmission regular graphs is proved in [3].…”
mentioning
confidence: 99%
“…For example, it is known that the smallest pair of (connected) cospectral regular graphs have 10 vertices each [6]. So, we may use these graphs as a starting point to construct lexicographic polynomials that represent cospectral graphs.…”
Section: L-spectrum Of a Lexicographic Polynomial Of A Graphmentioning
confidence: 99%