Bary-GWMDS computes Gromov-Wasserstein barycenters of distance matrices to produce stable consensus embeddings from multi-view relational data, and Mean-GWMDS-C averages distances for reduced-support clustering.
Generalized dimension reduction using semi-relaxed Gromov-Wasserstein distance
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Gromov-Wasserstein Methods for Multi-View Relational Embedding and Clustering
Bary-GWMDS computes Gromov-Wasserstein barycenters of distance matrices to produce stable consensus embeddings from multi-view relational data, and Mean-GWMDS-C averages distances for reduced-support clustering.