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Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification
SUMMARY: Federated learning enables collaboration in medicine, where data is scattered across multiple centers without the need to aggregate the data in a central cloud. While, in general, machine learning models can be applied to a wide range of data types, graph neural networks (GNNs) are particul...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684359/ https://www.ncbi.nlm.nih.gov/pubmed/37988152 http://dx.doi.org/10.1093/bioinformatics/btad703 |