Supervised Gromov–Wasserstein Optimal Transport with Metric-Preserving Constraints

Zixuan Cang, Yaqi Wu, Yanxiang Zhao

Open source

DOI: 10.1137/24m1630499
Published: 2025-02-20
Container: SIAM Journal on Mathematics of Data Science
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1137/24m1630499,
  title = {Supervised Gromov–Wasserstein Optimal Transport with Metric-Preserving Constraints},
  author = {Zixuan Cang and Yaqi Wu and Yanxiang Zhao},
  year = {2025},
  journal = {SIAM Journal on Mathematics of Data Science},
  doi = {10.1137/24m1630499},
  url = {https://doi.org/10.1137/24m1630499}
}

RIS

TY  - JOUR
TI  - Supervised Gromov–Wasserstein Optimal Transport with Metric-Preserving Constraints
AU  - Zixuan Cang
AU  - Yaqi Wu
AU  - Yanxiang Zhao
PY  - 2025
JO  - SIAM Journal on Mathematics of Data Science
DO  - 10.1137/24m1630499
UR  - https://doi.org/10.1137/24m1630499
ER  -

APA

Cang, Z., Wu, Y., & Zhao, Y. (2025). Supervised Gromov–Wasserstein Optimal Transport with Metric-Preserving Constraints. SIAM Journal on Mathematics of Data Science. https://doi.org/10.1137/24m1630499

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crossref · retrieved 2026-09-25T10:37:10.886Z