Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation
arXiv:2603.28572v1 Announce Type: new
Abstract: Denoising models such as Diffusion or Flow Matching have recently advanced generative modeling for discrete structures, yet most approaches either operate directly in the discrete state space, causing ab…