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Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia, 2024, Volume 517, Pages 66–73
DOI: https://doi.org/10.31857/S2686954324030119 (Mi danma532) 		 
This article is cited in 2 scientific papers (total in 2 papers)

MATHEMATICS

Graph condensation for large factor models

B. N. Chetverushkina, V. A. Sudakova, Yu. P. Titovb

a Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Moscow, Russia
b Moscow Aviation Institute (National Research University), Moscow, Russia
Full-text PDF Citations (2)
DOI: https://doi.org/10.31857/S2686954324030119
Abstract: An original method for processing large factor models based on graph condensation using machine learning models and artificial neural networks is developed. The proposed mathematical apparatus can be used to plan and manage complex organizational and technical systems, to optimize large socioeconomic objects of national scale, and to solve problems of preserving the health of the nation (searching for compatibility of medications and optimizing health care resources).
Keywords: factor model, graph condensation, clustering, eigenvector, eigenvalues.
Received: 17.01.2024
Revised: 25.04.2024
Accepted: 29.06.2024
English version:
Doklady Mathematics, 2024, Volume 109, Issue 3, Pages 246–251
DOI: https://doi.org/10.1134/S1064562424702090
Bibliographic databases:
Document Type: Article
UDC: 519.876
Language: Russian
Citation: B. N. Chetverushkin, V. A. Sudakov, Yu. P. Titov, “Graph condensation for large factor models”, Dokl. RAN. Math. Inf. Proc. Upr., 517 (2024), 66–73; Dokl. Math., 109:3 (2024), 246–251
Citation in format AMSBIB
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\by B.~N.~Chetverushkin, V.~A.~Sudakov, Yu.~P.~Titov
\paper Graph condensation for large factor models
\jour Dokl. RAN. Math. Inf. Proc. Upr.
\yr 2024
\vol 517
\pages 66--73
\mathnet{http://mi.mathnet.ru/danma532}
\crossref{https://doi.org/10.31857/S2686954324030119}
\elib{https://elibrary.ru/item.asp?id=69204691}
\transl
\jour Dokl. Math.
\yr 2024
\vol 109
\issue 3
\pages 246--251
\crossref{https://doi.org/10.1134/S1064562424702090}
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    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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