Scalable graph neural network for NMR chemical shift prediction.

Han, Jongmin; Kang, Hyungu; Kang, Seokho; Kwon, Youngchun; Lee, Dongseon; Choi, Youn-Suk

Han, Jongmin; Kang, Hyungu; Kang, Seokho; Kwon, Youngchun; Lee, Dongseon; Choi, Youn-Suk.

Afiliação

Han J; Department of Industrial Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea. s.kang@skku.edu.
Kang H; Department of Industrial Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea. s.kang@skku.edu.
Kang S; Department of Industrial Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea. s.kang@skku.edu.
Kwon Y; Samsung Advanced Institute of Technology, Samsung Electronics Co. Ltd., Yeongtong-gu, Suwon 16678, Republic of Korea. ysuk.choi@samsung.com.
Lee D; Department of Computer Science and Engineering, Seoul National University, Gwanak-gu, Seoul 08826, Republic of Korea.
Choi YS; Samsung Advanced Institute of Technology, Samsung Electronics Co. Ltd., Yeongtong-gu, Suwon 16678, Republic of Korea. ysuk.choi@samsung.com.

Phys Chem Chem Phys ; 24(43): 26870-26878, 2022 Nov 09.

Article em En | MEDLINE | ID: mdl-36317530

Assuntos

Imageamento por Ressonância Magnética; Redes Neurais de Computação; Espectroscopia de Ressonância Magnética

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Redes Neurais de Computação Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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