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Found 2 papers, 1 papers with code
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
The study includes a set of experiments to support the theory and method, including approximating the GW distance, preserving the graph spectrum, classifying graphs using spectral information, and performing regression using graph convolutional networks.
Mean-field Variational Inference via Wasserstein Gradient Flow
Variational inference, such as the mean-field (MF) approximation, requires certain conjugacy structures for efficient computation.
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