Prediction of side effects of polypragmation using a graphical neural network

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Bibliographic Details
Date:2024
Main Authors: V. P. Kuznyak, O. K. Kolesnytskyj
Format: Article
Language:English
Published: 2024
Series:Optoelectronic information-Power Technologies
Online Access:http://jnas.nbuv.gov.ua/article/UJRN-0001494640
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Journal Title:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author V. P. Kuznyak
O. K. Kolesnytskyj
author_facet V. P. Kuznyak
O. K. Kolesnytskyj
author_sort V. P. Kuznyak
collection Open-Science
first_indexed 2025-07-22T19:18:13Z
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
last_indexed 2025-07-22T19:18:13Z
publishDate 2024
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series Optoelectronic information-Power Technologies
spelling open-sciencenbuvgovua-1139082024-12-23T18:52:51Z Prediction of side effects of polypragmation using a graphical neural network V. P. Kuznyak O. K. Kolesnytskyj 1681-7893 2024 en Optoelectronic information-Power Technologies http://jnas.nbuv.gov.ua/article/UJRN-0001494640 Article
spellingShingle Optoelectronic information-Power Technologies
V. P. Kuznyak
O. K. Kolesnytskyj
Prediction of side effects of polypragmation using a graphical neural network
title Prediction of side effects of polypragmation using a graphical neural network
title_full Prediction of side effects of polypragmation using a graphical neural network
title_fullStr Prediction of side effects of polypragmation using a graphical neural network
title_full_unstemmed Prediction of side effects of polypragmation using a graphical neural network
title_short Prediction of side effects of polypragmation using a graphical neural network
title_sort prediction of side effects of polypragmation using a graphical neural network
url http://jnas.nbuv.gov.ua/article/UJRN-0001494640
work_keys_str_mv AT vpkuznyak predictionofsideeffectsofpolypragmationusingagraphicalneuralnetwork
AT okkolesnytskyj predictionofsideeffectsofpolypragmationusingagraphicalneuralnetwork