Imbalanced graph learning via mixed entropy minimization
Abstract Imbalanced datasets, where the minority class is underrepresented, pose significant challenges for node classification in graph learning. Traditional methods often address this issue through synthetic oversampling techniques for the minority class, which can complicate the training process....
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2024-10-01
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| coleção: | Scientific Reports |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1038/s41598-024-75999-6 |
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