Learning Graph Energies for Finite-Time Generation.

arXiv:2610.19946v1 Announce Type: cross Abstract: Energy-based models can represent distributions over discrete structures such as molecular graphs, but an energy that is accurate at equilibrium need not yield accurate samples when the sampler stops after a fi