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

May 4, 2022, 1:12 a.m. | Liang Peng, Nan Wang, Nicha Dvornek, Xiaofeng Zhu, Xiaoxiao Li

cs.LG updates on arXiv.org arxiv.org

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

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