Variational Autoencoder, Multi Omic, Computational Biology.
start with a brief high-level description of the components. A graph variational autoencoder [2] compresses the guidance graph. More specifically, we want to compress its adjacency matrix such that the number of rows does not change, but the number of columns is reduced to m (note that this is the