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3 papers
node2coords: Graph Representation Learning with Wasserstein Barycenters
Effrosyni Simou, Dorina Thanou, Pascal Frossard
In order to perform network analysis tasks, representations that capture the most relevant information in the graph structure are needed. However, existing methods do not learn rep…
Forward-Backward Splitting for Optimal Transport based Problems
Guillermo Ortiz-Jimenez, Mireille El Gheche, Effrosyni Simou +2
Optimal transport aims to estimate a transportation plan that minimizes a displacement cost. This is realized by optimizing the scalar product between the sought plan and the given…
Graph Signal Representation with Wasserstein Barycenters
Effrosyni Simou, Pascal Frossard
In many applications signals reside on the vertices of weighted graphs. Thus, there is the need to learn low dimensional representations for graph signals that will allow for data…