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Vandergheynst, Pierre
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1

Molecular set representation learning:

Boulougouri, Maria ; Vandergheynst, Pierre ; Probst, Daniel
Nature Machine Intelligence.  6 (2024)  7 - p. 754-763 , 2024
Link: https://doi.org/10.1038/..
 
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2

RosettaSurf—A surface-centric computational design approach:

Scheck, Andreas ; Rosset, Stéphane ; Defferrard, Michaël...
PLOS Computational Biology.  18 (2022)  3 - p. e1009178 , 2022
Link: https://doi.org/10.1371/..
 
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3

What is Trending on Wikipedia? Capturing Trends and Languag..:

, In: Companion Proceedings of the Web Conference 2020,
Miz, Volodymyr ; Hanna, Joëlle ; Aspert, Nicolas.. - p. 794-801 , 2020
Link: https://dl.acm.org/doi/1..
 
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4

Fourier could be a data scientist: From graph Fourier trans..:

Ricaud, Benjamin ; Borgnat, Pierre ; Tremblay, Nicolas..
Comptes Rendus. Physique.  20 (2019)  5 - p. 474-488 , 2019
Link: https://doi.org/10.1016/..
 
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5

Anomaly Detection in the Dynamics of Web and Social Network..:

, In: The World Wide Web Conference,
Miz, Volodymyr ; Ricaud, Benjamin ; Benzi, Kirell. - p. 1290-1299 , 2019
Link: https://dl.acm.org/doi/1..
 
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6

A Graph-Structured Dataset for Wikipedia Research:

, In: Companion Proceedings of The 2019 World Wide Web Conference,
Aspert, Nicolas ; Miz, Volodymyr ; Ricaud, Benjamin. - p. 1188-1193 , 2019
Link: https://dl.acm.org/doi/1..
 
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7

The Spectral Graph Wavelet Transform: Fundamental Theory an..:

, In: Signals and Communication Technology; Vertex-Frequency Analysis of Graph Signals,
Hammond, David K. ; Vandergheynst, Pierre ; Gribonval, Rémi - p. 141-175 , 2018
Link: https://doi.org/10.1007/..
 
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8

Distributed Signal Processing via Chebyshev Polynomial Appr..:

Shuman, David I ; Vandergheynst, Pierre ; Kressner, Daniel.
IEEE Transactions on Signal and Information Processing over Networks.  4 (2018)  4 - p. 736-751 , 2018
Link: https://doi.org/10.1109/..
 
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9

Global and local uncertainty principles for signals on grap..:

Vandergheynst, Pierre ; Shuman, David I ; Ricaud, Benjamin.
APSIPA Transactions on Signal and Information Processing.  7 (2018)  1 - p. , 2018
Link: https://doi.org/10.1017/..
 
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10

Random sampling of bandlimited signals on graphs:

Puy, Gilles ; Tremblay, Nicolas ; Gribonval, Rémi.
Applied and Computational Harmonic Analysis.  44 (2018)  2 - p. 446-475 , 2018
Link: https://doi.org/10.1016/..
 
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11

Structured Sequence Modeling with Graph Convolutional Recur..:

, In: Neural Information Processing; Lecture Notes in Computer Science,
Seo, Youngjoo ; Defferrard, Michaël ; Vandergheynst, Pierre. - p. 362-373 , 2018
Link: https://doi.org/10.1007/..
 
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12

Graph Signal Processing: Overview, Challenges, and Applicat..:

Ortega, Antonio ; Frossard, Pascal ; Kovačević, Jelena..
Proceedings of the IEEE.  106 (2018)  5 - p. 808-828 , 2018
Link: https://doi.org/10.1109/..
 
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13

Locating Temporal Functional Dynamics of Visual Short-Term ..:

Smith, Keith ; Ricaud, Benjamin ; Shahid, Nauman...
Scientific Reports.  7 (2017)  1 - p. , 2017
Link: https://doi.org/10.1038/..
 
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14

Geometric Deep Learning: Going beyond Euclidean data:

Bronstein, Michael M. ; Bruna, Joan ; LeCun, Yann..
IEEE Signal Processing Magazine.  34 (2017)  4 - p. 18-42 , 2017
Link: https://doi.org/10.1109/..
 
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15

Transient networks of spatio-temporal connectivity map comm..:

Griffa, Alessandra ; Ricaud, Benjamin ; Benzi, Kirell...
NeuroImage.  155 (2017)  - p. 490-502 , 2017
Link: https://doi.org/10.1016/..
 
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