Distance-Matrix Wasserstein Statistics for Scalable Gromov–Wasserstein Learning
arXiv:2605.14981v1 Announce Type: new
Abstract: Gromov–Wasserstein (GW) distances compare graphs, shapes, and point clouds through internal distances, without requiring a common coordinate system. This invariance is powerful, but discrete GW is a non…