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Matrix tri-factorization over the tropical semiring
ID
Omanović, Amra
(
Author
),
ID
Oblak, Polona
(
Author
),
ID
Curk, Tomaž
(
Author
)
URL - Source URL, Visit
https://ieeexplore.ieee.org/document/10156842
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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
UDC:
004:51
ISSN on article:
2169-3536
DOI:
10.1109/ACCESS.2023.3287833
COBISS.SI-ID:
162079235
Publication date in RUL:
24.08.2023
Views:
543
Downloads:
54
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Title:
IEEE access
Publisher:
Institute of Electrical and Electronics Engineers
ISSN:
2169-3536
COBISS.SI-ID:
519839513
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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