Pierre Vandergheynst

Engineering · Physical Sciences

63h-index29.9kcitations493works2.52yr avg
OpenAlex↗ORCID↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Sparse and Compressive Sensing Techniques(142), Image and Signal Denoising Methods(118), Blind Source Separation Techniques(65), Advanced Graph Neural Networks(50), Advanced Vision and Imaging(49)

Publications493 total

Advection-Diffusion on Graphs: A Bakry-Emery Laplacian for Spectral Graph Neural Networks
arXiv (Cornell University)·2026Open Access
Advection-Diffusion on Graphs: A Bakry-Emery Laplacian for Spectral Graph Neural Networks
arXiv (Cornell University)·2026Open Access
Position: Message-passing and spectral GNNs are two sides of the same coin
arXiv (Cornell University)·2026Open Access
Position: Message-passing and spectral GNNs are two sides of the same coin
ArXiv.org·2026Open Access
All-Atom GPCR-Ligand Simulation via Residual Isometric Latent Flow
ArXiv.org·2026Open Access
All-Atom GPCR-Ligand Simulation via Residual Isometric Latent Flow
arXiv (Cornell University)·2026Open Access
MEIDNet: Multimodal generative AI framework for inverse materials design
ArXiv.org·2026Open Access
MEIDNet: Multimodal generative AI framework for inverse materials design
arXiv (Cornell University)·2026Open Access
Conditional deep learning model reveals translation elongation determinants during amino acid deprivation
Communications Biology·2025Open Access
Carré du champ flow matching: better quality-generalisation tradeoff in generative models
arXiv (Cornell University)·2025Open Access
Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings
arXiv (Cornell University)·2025Open Access
Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks
arXiv (Cornell University)·2025Open Access
Conditional Deep Learning Model Reveals Translation Elongation Determinants during Amino Acid Deprivation
2025Open Access
MARBLE: interpretable representations of neural population dynamics using geometric deep learning
Nature Methods·2025· 16 citedOpen Access
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
arXiv (Cornell University)·2025Open Access
Boosting Protein Graph Representations through Static-Dynamic Fusion
2025· 2 citedOpen Access
Boosting Protein Graph Representations through Static-Dynamic Fusion
Socio-Environmental Systems Modeling·2025Open Access
Exploring “dark-matter” protein folds using deep learning
Cell Systems·2024· 7 citedOpen Access
Molecular set representation learning
Nature Machine Intelligence·2024· 26 citedOpen Access
Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations
2024· 1 citedOpen Access
page 1 of 25Next →

Frequent Co-authors

Xavier Bresson(9), David I Shuman(7), Pascal Frossard(7), Michael M. Bronstein(5), Rémi Gribonval(5), Jean‐Philippe Thiran(5), Jean-Pierre Antoine(5), Michaël Defferrard(4), Vassilis Kalofolias(4), Gilles Puy(4), Yves Wiaux(4), Karin Schnass(3), Benjamin Ricaud(3), Nathanaël Perraudin(3), Kirell Benzi(3), Laurent Jacques(3), Antonio Ortega(2), David K. Hammond(2), Alexandre Alahi(2), Xiaowen Dong(2)