Representing Graphs via Gromov-Wasserstein Factorization
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DOI: 10.1109/tpami.2022.3153126
Abstract: Graph representation is a challenging and significant problem for many real-world applications. In this work, we propose a novel paradigm called “Gromov-Wasserstein Factorization” (GWF) to learn graph representations in a flexible and interpretable way. Given… read more here.
Keywords: gromov wasserstein; factorization; graph; model ... See more keywords