June 11, 2024, 4:47 a.m. | Antoine Siraudin, Fragkiskos D. Malliaros, Christopher Morris

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.06449v1 Announce Type: new
Abstract: Discrete-state denoising diffusion models led to state-of-the-art performance in graph generation, especially in the molecular domain. Recently, they have been transposed to continuous time, allowing more flexibility in the reverse process and a better trade-off between sampling efficiency and quality. Here, to leverage the benefits of both approaches, we propose Cometh, a continuous-time discrete-state graph diffusion model, integrating graph data into a continuous-time diffusion model framework. Empirically, we show that integrating continuous time leads to …

abstract art arxiv benefits continuous cs.lg denoising diffusion diffusion model diffusion models domain efficiency flexibility graph off performance process quality sampling state trade trade-off type

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