Antoine Siraudin

According to our database, Antoine Siraudin authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GraIP: A Benchmarking Framework For Neural Graph Inverse Problems.

Semih Cantürk, Andrei Manolache, Arman Mielke, Chendi Qian, Antoine Siraudin, Christopher Morris, Mathias Niepert, Guy Wolf

CoRR, January, 2026

Principled Latent Diffusion for Graphs via Laplacian Autoencoders.

Antoine Siraudin, Christopher Morris

CoRR, January, 2026

2025

GraphBench: Next-generation graph learning benchmarking.

Timo Stoll, Chendi Qian, Ben Finkelshtein, Ali Parviz, Darius Weber, Fabrizio Frasca, Hadar Shavit, Antoine Siraudin, Arman Mielke, Marie Anastacio, Erik Müller, Maya Bechler-Speicher, Michael M. Bronstein, Mikhail Galkin, Holger H. Hoos, Mathias Niepert, Bryan Perozzi, Jan Tönshoff, Christopher Morris

CoRR, December, 2025

Cometh: A continuous-time discrete-state graph diffusion model.

Antoine Siraudin, Fragkiskos D. Malliaros, Christopher Morris

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, Christopher Morris

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

DiGress: Discrete Denoising diffusion for graph generation.

Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard

Proceedings of the Eleventh International Conference on Learning Representations, 2023