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Matrix tri-factorization over the tropical semiring
ID Omanović, Amra (Author), ID Oblak, Polona (Author), ID Curk, Tomaž (Author)

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Abstract
Tropical semiring has proven successful in several research areas, including optimal control, bioinformatics, discrete event systems, and decision problems. Previous studies have applied a matrix two-factorization algorithm based on the tropical semiring to investigate bipartite and tripartite networks. Tri-factorization algorithms based on standard linear algebra are used to solve tasks such as data fusion, co-clustering, matrix completion, community detection, and more. However, there is currently no tropical matrix tri-factorization approach that would allow for the analysis of multipartite networks with many parts. To address this, we propose the triFastSTMF algorithm, which performs tri-factorization over the tropical semiring. We applied it to analyze a four-partition network structure and recover the edge lengths of the network. We show that triFastSTMF performs similarly to Fast-NMTF in terms of approximation and prediction performance when fitted on the whole network. When trained on a specific subnetwork and used to predict the entire network, triFastSTMF outperforms Fast-NMTF by several orders of magnitude smaller error. The robustness of triFastSTMF is due to tropical operations, which are less prone to predict large values compared to standard operations.

Language:English
Keywords:tropical semiring, tri-factorization, network structure analysis, four-partition network
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FRI - Faculty of Computer and Information Science
Publication status:Published
Publication version:Version of Record
Publication date:01.01.2023
Year:2023
Number of pages:Str. 69022-69032
Numbering:Vol. 11
PID:20.500.12556/RUL-148483 This link opens in a new window
UDC:004:51
ISSN on article:2169-3536
DOI:10.1109/ACCESS.2023.3287833 This link opens in a new window
COBISS.SI-ID:162079235 This link opens in a new window
Publication date in RUL:24.08.2023
Views:543
Downloads:54
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Record is a part of a journal

Title:IEEE access
Publisher:Institute of Electrical and Electronics Engineers
ISSN:2169-3536
COBISS.SI-ID:519839513 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:tropski polkolobar, trifaktorizacija, analiza strukture omrežja, štiriparticijsko omrežje

Projects

Funder:ARRS - Slovenian Research Agency
Project number:P1-0222
Name:Algebra, teorija operatorjev in finančna matematika

Funder:ARRS - Slovenian Research Agency
Project number:P2-0209
Name:Umetna inteligenca in inteligentni sistemi

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