
Large Scale Graph Learning from Smooth Signals
Graphs are a prevalent tool in data science, as they model the inherent ...
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How to learn a graph from smooth signals
We propose a framework that learns the graph structure underlying a set ...
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Song Recommendation with NonNegative Matrix Factorization and Graph Total Variation
This work formulates a novel song recommender system as a matrix complet...
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Fast Robust PCA on Graphs
Mining useful clusters from high dimensional data has received significa...
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Robust Principal Component Analysis on Graphs
Principal Component Analysis (PCA) is the most widely used tool for line...
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Matrix Completion on Graphs
The problem of finding the missing values of a matrix given a few of its...
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UNLocBoX: A MATLAB convex optimization toolbox for proximalsplitting methods
Convex optimization is an essential tool for machine learning, as many o...
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Vassilis Kalofolias
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