Article

Proximity Measures as Graph Convolution Matrices for Link Prediction in Biological Networks

2020-11-16

Abstract excerpt

<h4>Motivation</h4> Link prediction is an important and well-studied problem in computational biology, with a broad range of applications including disease gene prioritization, drug-disease associations, and drug response in cancer. The general principle in link prediction is to use the topological characteristics and the attributes–if available– of the nodes in the network to predict new links that are likely to...

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Literature Corpus work: 21f5297e-a9ca-5eb3-ac58-9bac63f02894
DOI: 10.1101/2020.11.14.382655

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