<i>k</i>-Nearest Neighbor Learning with Graph Neural Networks
<i>k</i>-nearest neighbor (<i>k</i>NN) is a widely used learning algorithm for supervised learning tasks. In practice, the main challenge when using <i>k</i>NN is its high sensitivity to its hyperparameter setting, including the number of nearest neighbors <i>k</i>, the distance function, and the we...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2021-04-01
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| coleção: | Mathematics |
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| Acesso em linha: | https://www.mdpi.com/2227-7390/9/8/830 |
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