DiGress: Discrete Denoising diffusion for graph generation. - Clément Vignac; Igor Krawczuk; Antoine Siraudin; Bohan Wang; Volkan Cevher; Pascal Frossard (ICLR, 2023)

Cometh: A continuous-time discrete-state graph diffusion model. - Antoine Siraudin; Fragkiskos D. Malliaros; Christopher Morris 001 (Trans. Mach. Learn. Res., 2025)

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks. - Maya Bechler-Speicher; Ben Finkelshtein; Fabrizio Frasca; Luis Müller; Jan Tönshoff; Antoine Siraudin; Viktor Zaverkin; Michael M. Bronstein; Mathias Niepert; Bryan Perozzi; Mikhail Galkin 001; Christopher Morris 001 (CoRR, 2025)