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Person
Effrosyni Simou
This person is no longer with EPFL
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Related publications (5)
Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.
Graph Representation Learning with Optimal Transport: Analysis and Applications
In several machine learning settings, the data of interest are well described by graphs. Examples include data pertaining to transportation networks or social networks. Further, biological data, such as proteins or molecules, lend themselves well to graph- ...
EPFL2022FlowPool: Pooling Graph Representations with Wasserstein Gradient Flows
In several machine learning tasks for graph structured data, the graphs under consideration may be composed of a varying number of nodes. Therefore, it is necessary to design pooling methods that aggregate the graph representations of varying size to repre ...
2021node2coords: Graph Representation Learning with Wasserstein Barycenters
Pascal Frossard, Effrosyni Simou
In order to perform network analysis tasks, representations that capture the most relevant information in the graph structure are needed. However, existing methods learn representations that cannot be interpreted in a straightforward way and that are relat ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021People doing similar research (9)