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Distance-Matrix Wasserstein
Distance-Matrix Wasserstein
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Research paper on scalable Gromov-Wasserstein learning withdrawn
A research paper titled "Distance-Matrix Wasserstein Statistics for Scalable Gromov--Wasserstein Learning" has been withdrawn by its author, Ao Xu. The paper proposed a new method called Distance-Matrix Wasserstein (DMW…
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New DMW method offers scalable comparison for complex data structures
Researchers have developed a new method called Distance-Matrix Wasserstein (DMW) to more efficiently compare complex data structures like graphs and point clouds. This approach relaxes the computationally intensive Grom…