Matrix Completion on Graphs. - Vassilis Kalofolias; Xavier Bresson; Michael M. Bronstein; Pierre Vandergheynst (CoRR, 2014)

GSPBOX: A toolbox for signal processing on graphs. - Nathanaël Perraudin; Johan Paratte; David I. Shuman; Vassilis Kalofolias; Pierre Vandergheynst; David K. Hammond (CoRR, 2014)

Robust Principal Component Analysis on Graphs. - Nauman Shahid; Vassilis Kalofolias; Xavier Bresson; Michael M. Bronstein; Pierre Vandergheynst (ICCV, 2015)

Fast Robust PCA on Graphs. - Nauman Shahid; Nathanaël Perraudin; Vassilis Kalofolias; Pierre Vandergheynst (CoRR, 2015)

How to Learn a Graph from Smooth Signals. - Vassilis Kalofolias (AISTATS, 2016)

Song recommendation with non-negative matrix factorization and graph total variation. - Kirell Benzi; Vassilis Kalofolias; Xavier Bresson; Pierre Vandergheynst (ICASSP, 2016)

PCA using graph total variation. - Nauman Shahid; Nathanaël Perraudin; Vassilis Kalofolias; Benjamin Ricaud; Pierre Vandergheynst (ICASSP, 2016)

Fast Robust PCA on Graphs. - Nauman Shahid; Nathanaël Perraudin; Vassilis Kalofolias; Gilles Puy; Pierre Vandergheynst (IEEE J. Sel. Top. Signal Process., 2016)

From data to structures - graph learning under smoothness assumptions and applications in data science. - Vassilis Kalofolias (2016)

Learning time varying graphs. - Vassilis Kalofolias; Andreas Loukas; Dorina Thanou; Pascal Frossard (ICASSP, 2017)

Large Scale Graph Learning From Smooth Signals. - Vassilis Kalofolias; Nathanaël Perraudin (ICLR (Poster), 2019)