Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices

نویسندگان

  • Matthias Dehmer
  • Frank Emmert-Streib
  • Yongtang Shi
  • Monica Stefu
  • Shailesh Tripathi
  • Matjaz Perc
چکیده

In this paper, we study the discrimination power of graph measures that are based on graph-theoretical matrices. The paper generalizes the work of [M. Dehmer, M. Moosbrugger. Y. Shi, Encoding structural information uniquely with polynomial-based descriptors by employing the Randić matrix, Applied Mathematics and Computation, 268(2015), 164-168]. We demonstrate that by using the new functional matrix approach, exhaustively generated graphs can be discriminated more uniquely than shown in the mentioned previous work.

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عنوان ژورنال:

دوره 10  شماره 

صفحات  -

تاریخ انتشار 2015