EconPapers    
Economics at your fingertips  
 

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

Matthias Dehmer, Frank Emmert-Streib, Yongtang Shi, Monica Stefu and Shailesh Tripathi

PLOS ONE, 2015, vol. 10, issue 10, 1-10

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.

Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0139265 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 39265&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0139265

DOI: 10.1371/journal.pone.0139265

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().

 
Page updated 2025-03-19
Handle: RePEc:plo:pone00:0139265