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05/31/2022
Template based Graph Neural Network with Optimal Transport Distances
Current Graph Neural Networks (GNN) architectures generally rely on two ...
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10/06/2021
Semi-relaxed Gromov Wasserstein divergence with applications on graphs
Comparing structured objects such as graphs is a fundamental operation i...
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03/31/2021
Continuous Latent Position Models for Instantaneous Interactions
We create a framework to analyse the timing and frequency of instantaneo...
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02/12/2021
Online Graph Dictionary Learning
Dictionary learning is a key tool for representation learning, that expl...
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10/28/2020
An Optimal Control Approach to Learning in SIDARTHE Epidemic model
The COVID-19 outbreak has stimulated the interest in the proposal of nov...
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04/07/2020
From text saliency to linguistic objects: learning linguistic interpretable markers with a multi-channels convolutional architecture
A lot of effort is currently made to provide methods to analyze and unde...
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07/10/2017
Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL
We develop a model in which interactions between nodes of a dynamic netw...
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05/09/2016
Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks
The stochastic block model (SBM) is a flexible probabilistic tool that c...
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09/08/2015
Modelling time evolving interactions in networks through a non stationary extension of stochastic block models
In this paper, we focus on the stochastic block model (SBM),a probabilis...
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06/12/2015