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Aline Roumy

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#artificial intelligence Preprint Oct 2026

When Edge Independence Fails: Joint Graph Diffusion with Latent Sociability Priors

Discrete graph diffusion models corrupt graph structure through independent edge updates with a Markovian noise model. Combined with the exchangeability requirement on the output distribution, the terminal prior is necessarily an Erd\H{o}s--R\'enyi (E-R) random graph. This has a fundamental consequence for unconditiona...

Adarsh Jamadandi, Nicolas Keriven, Aline Roumy · 0 citations
#graph neural networks Preprint Aug 2026

CoRe-GNN: Multilevel Message passing on Coarsened graphs

CoRe-GNN is proposed, which performs both propagations in parallel at each layer: a coarsened inter-cluster term capturing long-range structure, and a local intra-cluster term preserving per-node discriminability.

Antonin Joly, Nicolas Keriven, Aline Roumy · 0 citations

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