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
· arXiv.org · 0 citations