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Author

F. Archetti

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Jul 2026

Diffusion enabled Optimal Transport distances for graph matching

Even under severe noise, DsrFGW improves clustering quality in 92% of the synthetic tasks with optimal diffusion scales adapting to problem difficulty, establishing DsrFGW as a robust framework for graph comparison under structural uncertainty.

Iman Seyedi, F. Archetti · 0 citations

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