DiffLift

New DiffLift framework learns graph liftings for topological neural networks

Researchers have developed DiffLift, a novel framework for learning graph liftings to hypergraphs and cellular complexes. This end-to-end approach uses learned vertex-level latent representations to identify and paramet…