A social theory-enhanced graph representation learning framework for multitask prediction of drug-drug interactions.

Feng, Yue-Hua; Zhang, Shao-Wu; Feng, Yi-Yang; Zhang, Qing-Qing; Shi, Ming-Hui; Shi, Jian-Yu

Feng, Yue-Hua; Zhang, Shao-Wu; Feng, Yi-Yang; Zhang, Qing-Qing; Shi, Ming-Hui; Shi, Jian-Yu.

Afiliação

Feng YH; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.
Zhang SW; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.
Feng YY; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.
Zhang QQ; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.
Shi MH; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.
Shi JY; School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China.

Brief Bioinform ; 24(1)2023 01 19.

Article em En | MEDLINE | ID: mdl-36642408

Assuntos

Aprendizado de Máquina; Redes Neurais de Computação; Interações Medicamentosas

Palavras-chave

Balance theory; Status theory; drugdrug interaction; graph representation learning; multitask learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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