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Inspired by the Kantorovich formulation of optimal transport distance between probability measures on a metric space, Gromov-Wasserstein (GW) distances comprise a family of metrics on the space of isomorphism classes of metric measure spaces.
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Yann Brenier · 1991
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Facundo Mémoli · 2007
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Gromov-Wasserstein averaging of kernel and distance matrices
Gabriel Peyré, Marco Cuturi, and Justin Solomon · 2016
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Gromov-Wasserstein alignment of word embedding spaces
David Alvarez-Melis and Tommi Jaakkola · 2018
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(Probably) concave graph matching
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Generalized spectral clustering via Gromov-Wasserstein learning
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Robert Beinert, Cosmas Heiss, and Gabriele Steidl · 2022
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