Geometry-Preserving Supervised Biological Sequence Design
A geometry-preserving variational autoencoder framework, called PrIVAE, which learns latent sequence embeddings that respect the geometry of their property space, and model the property space as a high-dimensional manifold that can be locally approximated by a nearest neighbor graph.