Article

Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification

2023-03-24

Abstract excerpt

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 particularly developed for graphs, which are very common in the biomedical domain. For instance, a patient can be represented by a pro...

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Literature Corpus work: 8ee3770b-69c6-5f8f-8bba-39bd699f4f76
DOI: 10.1101/2023.03.22.533772

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