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08/01/2023
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions
Learning distance functions between complex objects, such as the Wassers...
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02/01/2023
The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs
In this paper, we present a novel interpretation of the so-called Weisfe...
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10/21/2022
Learning Ultrametric Trees for Optimal Transport Regression
Optimal transport provides a metric which quantifies the dissimilarity b...
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02/05/2022
Weisfeiler-Lehman meets Gromov-Wasserstein
The Weisfeiler-Lehman (WL) test is a classical procedure for graph isomo...
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04/15/2021