Discovering latent node Information by graph attention network

In this paper, we propose graph attention based network representation (GANR) which utilizes the graph attention architecture and takes graph structure as the supervised learning information. Compared with node classification based representations, GANR can be used to learn representation for any gi...

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Detalles Bibliográficos
Autores principales: Gu, Weiwei, Gao, Fei, Lou, Xiaodan, Zhang, Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997918/
https://www.ncbi.nlm.nih.gov/pubmed/33772048
http://dx.doi.org/10.1038/s41598-021-85826-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997918/
https://www.ncbi.nlm.nih.gov/pubmed/33772048
http://dx.doi.org/10.1038/s41598-021-85826-x

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