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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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| Publicado no: | Patterns (N Y) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8085612/ https://ncbi.nlm.nih.gov/pubmed/33982027 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patter.2021.100237 |
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