Graph convolutional neural networks with global attention for improved materials property prediction.

Louis, Steph-Yves; Zhao, Yong; Nasiri, Alireza; Wang, Xiran; Song, Yuqi; Liu, Fei; Hu, Jianjun

Louis, Steph-Yves; Zhao, Yong; Nasiri, Alireza; Wang, Xiran; Song, Yuqi; Liu, Fei; Hu, Jianjun.

Afiliación

Louis SY; Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA. jianjun@cse.sc.edu.
Zhao Y; Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA. jianjun@cse.sc.edu.
Nasiri A; Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA. jianjun@cse.sc.edu.
Wang X; Department of Statistics, University of South Carolina, Columbia, SC 29201, USA.
Song Y; Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA. jianjun@cse.sc.edu.
Liu F; School of Mechanical Engineering, Guizhou University, Guiyang, 550025, China.
Hu J; Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA. jianjun@cse.sc.edu and School of Mechanical Engineering, Guizhou University, Guiyang, 550025, China.

Phys Chem Chem Phys ; 22(32): 18141-18148, 2020 Aug 24.

Article en En | MEDLINE | ID: mdl-32766627

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Phys Chem Chem Phys Asunto de la revista: BIOFISICA / QUIMICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google