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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
76
Citations
41940
World Ranking
1309
National Ranking
33

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Pierre Vandergheynst is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland and specializes in research intersecting biochemistry, genetics, and molecular biology. Their contributions include a focus on molecular biology, artificial intelligence, materials chemistry, cognitive neuroscience, and computational theory and mathematics.

The scientist's work extensively covers areas such as protein structure and dynamics, RNA and protein synthesis mechanisms, neural dynamics and brain function, computational drug discovery methods, neural networks and applications, enzyme structure and function, and advanced graph neural networks.

Frequent collaborative partnerships have been formed with several researchers, including Bruno E. Correia, Stéphane Rosset, Andreas Loukas, Michaël Defferrard, and Michael M. Bronstein. These collaborations have contributed to a steady output of published works across several venues.

Publication activity has been notable in venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Nature Machine Intelligence, and Nature Methods. Notably, bioRxiv and arXiv stand out as primary channels for disseminating research findings.

Recent papers include the following:

  • Molecular set representation learning, 2024, published in Nature Machine Intelligence
  • MARBLE: interpretable representations of neural population dynamics using geometric deep learning, 2025, published in Nature Methods
  • Interpretable Inflammation Landscape of Circulating Immune cells, 2023, published in bioRxiv (Cold Spring Harbor Laboratory)
  • RosettaSurf-A surface-centric computational design approach, 2022, published in PLoS Computational Biology
  • Exploring "dark-matter" protein folds using deep learning, 2024, published in Cell Systems

This body of work reflects a multidisciplinary approach linking computational methods with biological processes and molecular structures.

Best Publications

  • Convolutional neural networks on graphs with fast localized spectral filtering

    Michaël Defferrard;Xavier Bresson;Pierre Vandergheynst

  • The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

    David I Shuman;Sunil K. Narang;Pascal Frossard;Antonio Ortega

  • Geometric Deep Learning: Going beyond Euclidean data

    Michael M. Bronstein;Joan Bruna;Yann LeCun;Arthur Szlam

  • FREAK: Fast Retina Keypoint

    Alexandre Alahi;Raphael Ortiz;Pierre Vandergheynst

  • Wavelets on graphs via spectral graph theory

    David K. Hammond;Pierre Vandergheynst;Rémi Gribonval

  • Graph Signal Processing: Overview, Challenges, and Applications

    Antonio Ortega;Pascal Frossard;Jelena Kovacevic;Jose M. F. Moura

  • Fast Global Minimization of the Active Contour/Snake Model

    Xavier Bresson;Selim Esedoglu;Pierre Vandergheynst;Jean-Philippe Thiran

  • Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes

    H. Mamaghanian;N. Khaled;D. Atienza;P. Vandergheynst

  • Structured Sequence Modeling with Graph Convolutional Recurrent Networks

    Youngjoo Seo;Michaël Defferrard;Pierre Vandergheynst;Xavier Bresson

  • Geodesic Convolutional Neural Networks on Riemannian Manifolds

    Jonathan Masci;Davide Boscaini;Michael M. Bronstein;Pierre Vandergheynst

  • Compressed Sensing and Redundant Dictionaries

    H. Rauhut;K. Schnass;P. Vandergheynst

  • Learning Laplacian Matrix in Smooth Graph Signal Representations

    Xiaowen Dong;Dorina Thanou;Pascal Frossard;Pierre Vandergheynst

  • Two-Dimensional Wavelets and their Relatives

    Jean-Pierre Antoine;Romain Murenzi;Pierre Vandergheynst;Syed Twareque Ali

  • DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection.

    Patric Hagmann;Jean-Philippe Thiran;Lisa Jonasson;Pierre Vandergheynst

  • Vertex-Frequency Analysis on Graphs

    David I Shuman;Benjamin Ricaud;Pierre Vandergheynst

  • GSPBOX: A toolbox for signal processing on graphs

    Nathanaël Perraudin;Johan Paratte;David Shuman;Lionel Martin

  • Compressed sensing imaging techniques for radio interferometry

    Yves Wiaux;Yves Wiaux;Laurent Jacques;Laurent Jacques;Gilles Puy;A. M. M. Scaife

  • Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

    Xiaowen Dong;Pascal Frossard;Pierre Vandergheynst;Nikolai Nefedov

  • Wavelets on the 2-sphere: A group-theoretical approach

    Jean-Pierre Antoine;Pierre Vandergheynst

  • Stationary Signal Processing on Graphs

    Nathanael Perraudin;Pierre Vandergheynst

  • FMA: A Dataset for Music Analysis.

    Michaël Defferrard;Kirell Benzi;Pierre Vandergheynst;Xavier Bresson

  • Two-Dimensional Wavelets and their Relatives: References

    Jean-Pierre Antoine;Romain Murenzi;Pierre Vandergheynst;Syed Twareque Ali

Frequent Co-Authors

Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Yves Wiaux
Yves Wiaux Heriot-Watt University
Xavier Bresson
Xavier Bresson National University of Singapore
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Alexandre Alahi
Alexandre Alahi École Polytechnique Fédérale de Lausanne
Yusuf Leblebici
Yusuf Leblebici École Polytechnique Fédérale de Lausanne
Murat Kunt
Murat Kunt École Polytechnique Fédérale de Lausanne
Michael M. Bronstein
Michael M. Bronstein University of Oxford
David Hammond
David Hammond University of Waterloo

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