FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction. (arXiv:2112.10166v2 [cs.LG] UPDATED)

Web: http://arxiv.org/abs/2112.10166

Graph Convolutional Neural Networks (GCNs) are widely used for graph
analysis. Specifically, in medical applications, GCNs can be used for disease
prediction on a population graph, where graph nodes represent individuals and
edges represent individual similarities. However, GCNs rely on a vast amount of
data, which is challenging to collect for a single medical institution. In
addition, a critical challenge that most medical institutions continue to face
is addressing disease prediction in isolation with incomplete data information.
To address these …

arxiv disease graph graph learning inpainting learning network population prediction