Empirical two-sample error for powered even-order Gromov-Wasserstein functionals is bounded by n^{-2/max{min(d_x,d_y),4}} up to logs when min dimension equals 4.
The space of spaces: Curvature bounds and gradient flows on the space of metric measure spaces.arXiv:1208.0434,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Trained MPNNs factor through bounded step-graphon-signals that embed via an explicit map into disjoint caps on the n-sphere, producing a topological fingerprint for model comparison and retrieval.
citing papers explorer
-
Empirical Convergence of Even-Order Gromov-Wasserstein Functionals
Empirical two-sample error for powered even-order Gromov-Wasserstein functionals is bounded by n^{-2/max{min(d_x,d_y),4}} up to logs when min dimension equals 4.