Leonardo V. Santoro
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126
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2026
Network Learning with Semi-relaxed Gromov-Wasserstein
The paper proposes a semi-relaxed Gromov-Wasserstein objective to estimate the latent connectivity structure of large-scale networks, achieving statistically consistent and efficient recovery of the underlying generative model.
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