Laplacian Matrix in Algebraic Graph Theory

نویسندگان

  • A. Rameshkumar
  • R. Palanikumar
  • S. Deepa
چکیده

In this paper we turn to the spectral decomposition of the Laplacian matrix. We show how the elements of the spectral matrix for the Laplacian can be used to construct symmetric polynomials that are permutation invariants. The coefficients of these polynomials can be used as graph features which can be encoded in a vectorial manner. We extend this representation to graphs in which there are unary attributes on the nodes and binary attributes on the edges by using the spectral decomposition of a Hermitian property matrix that can be viewed as a complex analogue of the Laplacian.

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تاریخ انتشار 2015