5 citations · 16 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
Asymptotic control of FWER under Gaussian assumption: application to correlation tests
Sophie Achard, Pierre Borgnat, Irène Gannaz
In many applications, hypothesis testing is based on an asymptotic distribution of statistics. The aim of this paper is to clarify and extend multiple correction procedures when th…