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Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices
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 Ma...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610680/ https://www.ncbi.nlm.nih.gov/pubmed/26479495 http://dx.doi.org/10.1371/journal.pone.0139265 |
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author | Dehmer, Matthias Emmert-Streib, Frank Shi, Yongtang Stefu, Monica Tripathi, Shailesh |
author_facet | Dehmer, Matthias Emmert-Streib, Frank Shi, Yongtang Stefu, Monica Tripathi, Shailesh |
author_sort | Dehmer, Matthias |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4610680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46106802015-10-29 Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices Dehmer, Matthias Emmert-Streib, Frank Shi, Yongtang Stefu, Monica Tripathi, Shailesh PLoS One Research Article 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. Public Library of Science 2015-10-19 /pmc/articles/PMC4610680/ /pubmed/26479495 http://dx.doi.org/10.1371/journal.pone.0139265 Text en © 2015 Dehmer et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Dehmer, Matthias Emmert-Streib, Frank Shi, Yongtang Stefu, Monica Tripathi, Shailesh Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices |
title | Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices |
title_full | Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices |
title_fullStr | Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices |
title_full_unstemmed | Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices |
title_short | Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices |
title_sort | discrimination power of polynomial-based descriptors for graphs by using functional matrices |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610680/ https://www.ncbi.nlm.nih.gov/pubmed/26479495 http://dx.doi.org/10.1371/journal.pone.0139265 |
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