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07/10/2023
Temporal network compression via network hashing
Pairwise temporal interactions between entities can be represented as te...
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03/19/2023
Studying Limits of Explainability by Integrated Gradients for Gene Expression Models
Understanding the molecular processes that drive cellular life is a fund...
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03/14/2023
Clustering with Simplicial Complexes
In this work, we propose a new clustering algorithm to group nodes in ne...
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09/26/2022
A simple way to learn metrics between attributed graphs
The choice of good distances and similarity measures between objects is ...
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08/01/2022
Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data
Understanding extreme events and their probability is key for the study ...
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04/29/2021
Fast Multiscale Diffusion on Graphs
Diffusing a graph signal at multiple scales requires computing the actio...
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03/17/2021
Deep Learning based Extreme Heatwave Forecast
Forecasting the occurrence of heatwaves constitutes a challenging issue,...
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10/30/2020
Multiview Variational Graph Autoencoders for Canonical Correlation Analysis
We present a novel multiview canonical correlation analysis model based ...
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07/07/2020
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening
We propose a novel algorithm for unsupervised graph representation learn...
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07/02/2020
Asymptotic control of FWER under Gaussian assumption: application to correlation tests
In many applications, hypothesis testing is based on an asymptotic distr...
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10/31/2019
Solving NMF with smoothness and sparsity constraints using PALM
Non-negative matrix factorization is a problem of dimensionality reducti...
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11/28/2018
Harmonic analysis on directed graphs and applications: from Fourier analysis to wavelets
We introduce a novel harmonic analysis for functions defined on the vert...
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12/25/2017
