Fused Gromov-Wasserstein
PulseAugur coverage of Fused Gromov-Wasserstein — every cluster mentioning Fused Gromov-Wasserstein across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
New framework offers uncertainty quantification for graph-valued AI predictions
Researchers have developed a new conformal prediction framework designed for graph-valued outputs, offering distribution-free coverage guarantees in complex structured output spaces. This method utilizes the Z-Gromov-Wa…
-
New k-NN Classifier Leverages Gromov-Wasserstein Distances for Graphs
Researchers have developed a $k$-nearest neighbors ($k$-NN) classification method utilizing Gromov--Wasserstein (GW) and fused Gromov--Wasserstein (fGW) distances. This approach allows for direct comparison of graphs wi…
-
New SDR algorithm learns target-aware data representations
Researchers have introduced Supervised Distributional Reduction (SDR), a novel algorithm designed to learn target-aware data representations. SDR combines optimal transport with dependence maximization to balance data c…