29 citations · 29 across the 1 of their papers we have counts for
3 papers
Whole-Graph Representation Learning For the Classification of Signed Networks
Noé Cecillon, Vincent Labatut, Richard Dufour +1
Graphs are ubiquitous for modeling complex systems involving structured data and relationships. Consequently, graph representation learning, which aims to automatically learn low-d…
Characterizing and comparing external measures for the assessment of cluster analysis and community detection
Nejat Arinik, Vincent Labatut, Rosa Figueiredo
In the context of cluster analysis and graph partitioning, many external evaluation measures have been proposed in the literature to compare two partitions of the same set. This ma…
Multiple Partitioning of Multiplex Signed Networks: Application to European Parliament Votes
Nejat Arinik, Rosa Figueiredo, Vincent Labatut
For more than a decade, graphs have been used to model the voting behavior taking place in parliaments. However, the methods described in the literature suffer from several limitat…