Predicting scalar coupling constants by graph angle-attention neural network.

Fang, Jia; Hu, Linyuan; Dong, Jianfeng; Li, Haowei; Wang, Hui; Zhao, Huafen; Zhang, Yao; Liu, Min

Fang, Jia; Hu, Linyuan; Dong, Jianfeng; Li, Haowei; Wang, Hui; Zhao, Huafen; Zhang, Yao; Liu, Min.

Afiliación

Fang J; School of Physics and Electronics, Central South University, Changsha, 410083, China.
Hu L; College of Computer Science and Technology, Zhejiang University, Hangzhou, 310007, China.
Dong J; School of Economics and Management, Beijing Jiaotong University, Beijing, 100044, China.
Li H; College of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, 310018, China. dongjf24@gmail.com.
Wang H; School of Physics and Electronics, Central South University, Changsha, 410083, China.
Zhao H; School of Physics and Electronics, Central South University, Changsha, 410083, China.
Zhang Y; School of Physics and Electronics, Central South University, Changsha, 410083, China. zhao-huafen@163.com.
Liu M; College of Computer Science and Technology, Zhejiang University, Hangzhou, 310007, China.

Sci Rep ; 11(1): 18686, 2021 09 21.

Article en En | MEDLINE | ID: mdl-34548513

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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