Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Hongteng Xu, Dixin Luo, Lawrence Carin

Neural Information Processing Systems 

Graph According graphs, T =[ Tij indicates Figure Graph Besides Recall 12]: for connecting sub-graph 21,47,34 graph K isolated, bycalculating dgw(G, Gdc), whereGdc = G(Vdc,diag whose Figure indicates 2.2 Gr Multi-graph Distinct focus byintroducing Based frame propose acceleration 3.1 Inspired 48,49...

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