Pierre Vandergheynst

@epfl.ch

Institute of Electrical and Micro-Engineering
Ecole Polytechnique Fédérale de Lausanne (EPFL)

Pierre Vandergheynst


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https://researchid.co/vandergh

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering
56385

Scholar Citations

79

Scholar h-index

245

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Generative modeling of full-atom protein conformations using latent diffusion on graph embeddings
    A Sengar, A Hariri, D Probst, P Barth, P Vandergheynst
    Advances in Neural Information Processing Systems 38, 25220-25258 , 2026
    2026
    Citations: 1
  • Return of chebnet: Understanding and improving an overlooked gnn on long range tasks
    A Hariri, A Arroyo, A Gravina, M Eliasof, CB Schönlieb, D Bacciu, X Dong, ...
    Advances in Neural Information Processing Systems 38, 136166-136196 , 2026
    2026
    Citations: 9
  • On vanishing gradients, over-smoothing, and over-squashing in gnns: Bridging recurrent and graph learning
    Á Arroyo, A Gravina, B Gutteridge, F Barbero, C Gallicchio, X Dong, ...
    Advances in Neural Information Processing Systems 38, 74356-74393 , 2026
    2026
    Citations: 45
  • Diffusion Processes on Implicit Manifolds
    V Kawasaki-Borruat, C Grotehans, P Vandergheynst, A Gosztolai
    arXiv preprint arXiv:2604.07213 , 2026
    2026
    Citations: 1
  • Learning gene interactions from tabular gene expression data using Graph Neural Networks
    M Boulougouri, MV Nallapareddy, P Vandergheynst
    bioRxiv, 2026.03. 19.712949 , 2026
    2026
  • Advection-Diffusion on Graphs: A Bakry-Emery Laplacian for Spectral Graph Neural Networks
    PG Berlureau, A Hariri, V Kawasaki-Borruat, M Zosso, P Vandergheynst
    arXiv preprint arXiv:2602.18141 , 2026
    2026
  • Position: Message-passing and spectral GNNs are two sides of the same coin
    A Vasileiou, J Cervino, P Frossard, CI Kanatsoulis, C Morris, MT Schaub, ...
    arXiv preprint arXiv:2602.10031 , 2026
    2026
  • Interpretable inflammation landscape of circulating immune cells
    L Jiménez-Gracia, D Maspero, S Aguilar-Fernández, F Craighero, ...
    Nature medicine 32 (2), 633-644 , 2026
    2026
    Citations: 15
  • MEIDNet: Multimodal generative AI framework for inverse materials design
    A Babu, RA Gouvêa, P Vandergheynst, GM Rignanese
    arXiv preprint arXiv:2601.22009 , 2026
    2026
  • A survey on over-smoothing and over-squashing: Unified propagation perspectives on graph neural networks and transformers
    A Arroyo, F Barbero, H Blayney, MM Bronstein, X Dong, P Lio, R Pascanu, ...
    Transactions on Machine Learning Research , 2026
    2026
    Citations: 1
  • Riemannian Metric Matching for Scalable Geometric Modelling of Distributions
    J Bamberger, A Gosztolai, P Vandergheynst, MM Bronstein, I Jones
    ICLR 2026 Workshop on Geometry-grounded Representation Learning and … , 2026
    2026
    Citations: 1
  • Conditional deep learning model reveals translation elongation determinants during amino acid deprivation
    MV Nallapareddy, F Craighero, L Worpenberg, F Naef, C Gobet, ...
    Communications Biology 8 (1), 1691 , 2025
    2025
  • Bridging Graph Neural Networks and Large Language Models: A Survey and Unified Perspective
    Á Arroyo, F Barbero, H Blayney, M Bronstein, X Dong, P Liò, R Pascanu, ...
    OpenReview , 2025
    2025
  • Carr\'e du champ flow matching: better quality-generalisation tradeoff in generative models
    J Bamberger, I Jones, D Duncan, MM Bronstein, P Vandergheynst, ...
    arXiv preprint arXiv:2510.05930 , 2025
    2025
    Citations: 6
  • Beyond Ensembles: Simulating All-Atom Protein Dynamics in a Learned Latent Space
    A Sengar, J Zhang, P Vandergheynst, P Barth
    arXiv preprint arXiv:2509.02196 , 2025
    2025
  • Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks
    P Vandergheynst
    arXiv , 2025
    2025
  • neural activity across systems by geometric deep learning
    A Gosztolai, P Vandergheynst
    Nature Methods 22, 467-468 , 2025
    2025
  • MARBLE: interpretable representations of neural population dynamics using geometric deep learning
    A Gosztolai, RL Peach, A Arnaudon, M Barahona, P Vandergheynst
    Nature Methods 22 (3), 612-620 , 2025
    2025
    Citations: 37
  • Interpreting and comparing neural activity across systems by geometric deep learning
    A Gosztolai, P Vandergheynst
    Nature Methods , 2025
    2025
  • Boosting Protein Graph Representations through Static-Dynamic Fusion
    P Guo, B Correia, P Vandergheynst, D Probst
    bioRxiv, 2025.02. 04.636233 , 2025
    2025
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Convolutional neural networks on graphs with fast localized spectral filtering
    M Defferrard, X Bresson, P Vandergheynst
    Advances in neural information processing systems 29 , 2016
    2016
    Citations: 12355
  • The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
    DI Shuman, SK Narang, P Frossard, A Ortega, P Vandergheynst
    IEEE signal processing magazine 30 (3), 83-98 , 2013
    2013
    Citations: 5684
  • Geometric deep learning: going beyond euclidean data
    MM Bronstein, J Bruna, Y LeCun, A Szlam, P Vandergheynst
    IEEE Signal Processing Magazine 34 (4), 18-42 , 2017
    2017
    Citations: 5514
  • Wavelets on graphs via spectral graph theory
    DK Hammond, P Vandergheynst, R Gribonval
    Applied and computational harmonic analysis 30 (2), 129-150 , 2011
    2011
    Citations: 2978
  • Freak: Fast retina keypoint
    A Alahi, R Ortiz, P Vandergheynst
    2012 IEEE conference on computer vision and pattern recognition, 510-517 , 2012
    2012
    Citations: 2804
  • Graph signal processing: Overview, challenges, and applications
    A Ortega, P Frossard, J Kovačević, JMF Moura, P Vandergheynst
    Proceedings of the IEEE 106 (5), 808-828 , 2018
    2018
    Citations: 2448
  • Structured sequence modeling with graph convolutional recurrent networks
    Y Seo, M Defferrard, P Vandergheynst, X Bresson
    International conference on neural information processing, 362-373 , 2018
    2018
    Citations: 1399
  • Fast global minimization of the active contour/snake model
    X Bresson, S Esedoḡlu, P Vandergheynst, JP Thiran, S Osher
    Journal of Mathematical Imaging and vision 28 (2), 151-167 , 2007
    2007
    Citations: 1219
  • Geodesic convolutional neural networks on riemannian manifolds
    J Masci, D Boscaini, M Bronstein, P Vandergheynst
    Proceedings of the IEEE international conference on computer vision … , 2015
    2015
    Citations: 1000
  • Compressed sensing for real-time energy-efficient ECG compression on wireless body sensor nodes
    H Mamaghanian, N Khaled, D Atienza, P Vandergheynst
    IEEE Transactions on Biomedical Engineering 58 (9), 2456-2466 , 2011
    2011
    Citations: 932
  • Learning Laplacian matrix in smooth graph signal representations
    X Dong, D Thanou, P Frossard, P Vandergheynst
    IEEE Transactions on Signal Processing 64 (23), 6160-6173 , 2016
    2016
    Citations: 849
  • FMA: A dataset for music analysis
    M Defferrard, K Benzi, P Vandergheynst, X Bresson
    arXiv preprint arXiv:1612.01840 , 2016
    2016
    Citations: 840
  • Compressed sensing and redundant dictionaries
    H Rauhut, K Schnass, P Vandergheynst
    IEEE Transactions on Information Theory 54 (5), 2210-2219 , 2008
    2008
    Citations: 746
  • Two-dimensional wavelets and their relatives
    JP Antoine, R Murenzi, P Vandergheynst, ST Ali
    Cambridge University Press , 2008
    2008
    Citations: 563
  • Vertex-frequency analysis on graphs
    DI Shuman, B Ricaud, P Vandergheynst
    Applied and Computational Harmonic Analysis 40 (2), 260-291 , 2016
    2016
    Citations: 506
  • DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection
    P Hagmann, JP Thiran, L Jonasson, P Vandergheynst, S Clarke, ...
    Neuroimage 19 (3), 545-554 , 2003
    2003
    Citations: 473
  • GSPBOX: A toolbox for signal processing on graphs
    N Perraudin, J Paratte, D Shuman, L Martin, V Kalofolias, ...
    arXiv preprint arXiv:1408.5781 , 2014
    2014
    Citations: 439
  • Compressed sensing imaging techniques for radio interferometry
    Y Wiaux, L Jacques, G Puy, AMM Scaife, P Vandergheynst
    Monthly Notices of the Royal Astronomical Society 395 (3), 1733-1742 , 2009
    2009
    Citations: 360
  • Stationary signal processing on graphs
    N Perraudin, P Vandergheynst
    IEEE Transactions on Signal Processing 65 (13), 3462-3477 , 2017
    2017
    Citations: 317
  • Wavelets on the 2-sphere: A group-theoretical approach
    JP Antoine, P Vandergheynst
    Applied and Computational Harmonic Analysis 7 (3), 262-291 , 1999
    1999
    Citations: 282