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

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Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices. / Dehmer, Matthias; Emmert-Streib, Frank; Shi, Yongtang; Stefu, Monica; Tripathi, Shailesh.

In: PLoS ONE, Vol. 10, No. 10, e0139265, 2015.

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Dehmer, Matthias ; Emmert-Streib, Frank ; Shi, Yongtang ; Stefu, Monica ; Tripathi, Shailesh. / Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices. In: PLoS ONE. 2015 ; Vol. 10, No. 10.

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@article{d34ff2a454734ca3b9fb381a718dd22b,
title = "Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices",
abstract = "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.",
author = "Matthias Dehmer and Frank Emmert-Streib and Yongtang Shi and Monica Stefu and Shailesh Tripathi",
year = "2015",
doi = "10.1371/journal.pone.0139265",
language = "English",
volume = "10",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "10",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices

AU - Dehmer, Matthias

AU - Emmert-Streib, Frank

AU - Shi, Yongtang

AU - Stefu, Monica

AU - Tripathi, Shailesh

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

U2 - 10.1371/journal.pone.0139265

DO - 10.1371/journal.pone.0139265

M3 - Article

VL - 10

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 10

M1 - e0139265

ER -