1 citations · 1 across the 4 of their papers we have counts for
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cs.LG2020
Spectral Embedding of Graph Networks
Shay Deutsch, Stefano Soatto
We introduce an unsupervised graph embedding that trades off local node similarity and connectivity, and global structure. The embedding is based on a generalized graph Laplacian,…
q-bio.MN2020
Interpretable Network Propagation with Application to Expanding the Repertoire of Human Proteins that Interact with SARS-CoV-2
Jeffrey N. Law, Kyle Akers, Nure Tasnina +8
Background: Network propagation has been widely used for nearly 20 years to predict gene functions and phenotypes. Despite the popularity of this approach, little attention has bee…