A Spatial Adaptive Algorithm Framework for Building Pattern Recognition Using Graph Convolutional Networks

Graph learning methods, especially graph convolutional networks, have been investigated for their potential applicability in many fields of study based on topological data. Their topological data processing capabilities have proven to be powerful. However, the relationships among separate entities i...

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Detalles Bibliográficos
Autores principales: Bei, Weijia, Guo, Mingqiang, Huang, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960836/
https://www.ncbi.nlm.nih.gov/pubmed/31847218
http://dx.doi.org/10.3390/s19245518

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960836/
https://www.ncbi.nlm.nih.gov/pubmed/31847218
http://dx.doi.org/10.3390/s19245518

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