93 citations · 276 across the 25 of their papers we have counts for
6 papers · 1 filter
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…
Deep Learning-based Extreme Heatwave Forecast
Valérian Jacques-Dumas, Francesco Ragone, Pierre Borgnat +2
Because of the impact of extreme heat waves and heat domes on society and biodiversity, their study is a key challenge. We specifically study long-lasting extreme heat waves, which…
Multiview Variational Graph Autoencoders for Canonical Correlation Analysis
Yacouba Kaloga, Pierre Borgnat, Sundeep Prabhakar Chepuri +2
We present a novel multiview canonical correlation analysis model based on a variational approach. This is the first nonlinear model that takes into account the available graph-bas…
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening
Louis Béthune, Yacouba Kaloga, Pierre Borgnat +2
We propose a novel algorithm for unsupervised graph representation learning with attributed graphs. It combines three advantages addressing some current limitations of the literatu…
Solving NMF with smoothness and sparsity constraints using PALM
Raimon Fabregat, Nelly Pustelnik, Paulo Gonçalves +1
Non-negative matrix factorization is a problem of dimensionality reduction and source separation of data that has been widely used in many fields since it was studied in depth in 1…