Geometric graphs from data to aid classification tasks with Graph Convolutional Networks

Traditional classification tasks learn to assign samples to given classes based solely on sample features. This paradigm is evolving to include other sources of information, such as known relations between samples. Here, we show that, even if additional relational information is not available in the...

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Detalles Bibliográficos
Autores principales: Qian, Yifan, Expert, Paul, Panzarasa, Pietro, Barahona, Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085612/
https://www.ncbi.nlm.nih.gov/pubmed/33982027
http://dx.doi.org/10.1016/j.patter.2021.100237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085612/
https://www.ncbi.nlm.nih.gov/pubmed/33982027
http://dx.doi.org/10.1016/j.patter.2021.100237

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