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cs.LG2024
PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms
Etienne Lasalle, Rémi Vaudaine, Titouan Vayer +4
Clustering the nodes of a graph is a cornerstone of graph analysis and has been extensively studied. However, some popular methods are not suitable for very large graphs: e.g., spe…
cs.SI2024
Longitudinal Modularity, a Modularity for Link Streams
Victor Brabant, Yasaman Asgari, Pierre Borgnat +2
Temporal networks are commonly used to model real-life phenomena. When these phenomena represent interactions and are captured at a fine-grained temporal resolution, they are model…
q-bio.GN2024
A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches
Myriam Bontonou, Anaïs Haget, Maria Boulougouri +3
Many machine learning models have been proposed to classify phenotypes from gene expression data. In addition to their good performance, these models can potentially provide some u…