Variational Autoencoder, Multi Omic, Computational Biology.
not only use data from the autoencoder embedding, but also from the embedding of the guidance graph. This is crucial towards achieving goal (3). In fact, without properly linking the components, the K variational autoencoders would be parametrized independently, leading to inconsistent semantics