93 citations · 276 across the 25 of their papers we have counts for
27 papers
Temporal network compression via network hashing
Rémi Vaudaine, Pierre Borgnat, Paulo Goncalves +2
Pairwise temporal interactions between entities can be represented as temporal networks, which code the propagation of processes such as epidemic spreading or information cascades,…
Studying Limits of Explainability by Integrated Gradients for Gene Expression Models
Myriam Bontonou, Anaïs Haget, Maria Boulougouri +3
Understanding the molecular processes that drive cellular life is a fundamental question in biological research. Ambitious programs have gathered a number of molecular datasets on…
Clustering with Simplicial Complexes
Thummaluru Siddartha Reddy, Sundeep Prabhakar Chepuri, Pierre Borgnat
In this work, we propose a new clustering algorithm to group nodes in networks based on second-order simplices (aka filled triangles) to leverage higher-order network interactions.…
A Simple Way to Learn Metrics Between Attributed Graphs
Yacouba Kaloga, Pierre Borgnat, Amaury Habrard
The choice of good distances and similarity measures between objects is important for many machine learning methods. Therefore, many metric learning algorithms have been developed…
Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data
George Miloshevich, Bastien Cozian, Patrice Abry +2
Understanding extreme events and their probability is key for the study of climate change impacts, risk assessment, adaptation, and the protection of living beings. Forecasting the…
Fast Multiscale Diffusion on Graphs
Sibylle Marcotte, Amélie Barbe, Rémi Gribonval +4
Diffusing a graph signal at multiple scales requires computing the action of the exponential of several multiples of the Laplacian matrix. We tighten a bound on the approximation e…