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Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification
The graph neural network (GNN) has been widely used for graph data representation. However, the existing researches only consider the ideal balanced dataset, and the imbalanced dataset is rarely considered. Traditional methods such as resampling, reweighting, and synthetic samples that deal with imb...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655128/ https://www.ncbi.nlm.nih.gov/pubmed/34899230 http://dx.doi.org/10.3389/fnbot.2021.775688 |