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Discrete Gromov-Wasserstein Duality: Algorithms and Isomorphism Testing

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.03094v1 Announce Type: cross Abstract: The Gromov-Wasserstein (GW) distance provides a principled framework for aligning metric measure (mm) spaces based solely on their intrinsic structure. Its ability to identify isomorphic representations of distributions across spaces renders it valu…

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  1. 2026-09-04 04:00 · arXiv stat.ML
    Discrete Gromov-Wasserstein Duality: Algorithms and Isomorphism Testing

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