Vandergheynst, Pierre

19 publications

ICML 2025 Boosting Protein Graph Representations Through Static-Dynamic Fusion Pengkang Guo, Bruno Correia, Pierre Vandergheynst, Daniel Probst

ICLRW 2025 Boosting Protein Graph Representations Through Static-Dynamic Fusion Pengkang Guo, Bruno Correia, Pierre Vandergheynst, Daniel Probst

ICLRW 2025 End-to-End Interpretable Graph Learning for Patient Classification Maria Boulougouri, Vamsi Nallapareddy, Pierre Vandergheynst

NeurIPS 2025 Generative Modeling of Full-Atom Protein Conformations Using Latent Diffusion on Graph Embeddings Aditya Sengar, Ali Hariri, Daniel Probst, Patrick Barth, Pierre Vandergheynst

NeurIPS 2025 On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Alvaro Arroyo, Alessio Gravina, Benjamin Gutteridge, Federico Barbero, Claudio Gallicchio, Xiaowen Dong, Michael M. Bronstein, Pierre Vandergheynst

NeurIPS 2025 Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks Ali Hariri, Alvaro Arroyo, Alessio Gravina, Moshe Eliasof, Carola-Bibiane Schönlieb, Davide Bacciu, Xiaowen Dong, Kamyar Azizzadenesheli, Pierre Vandergheynst

ICLRW 2024 Beyond Fine-Tuning: LoRA Modules Boost Near- Ood Detection and LLM Security Etienne Salimbeni, Francesco Craighero, Renata Khasanova, Milos Vasic, Pierre Vandergheynst

ICLR 2024 Implicit Gaussian Process Representation of Vector Fields over Arbitrary Latent Manifolds Robert Peach, Matteo Vinao-Carl, Nir Grossman, Michael David, Emma Mallas, David J. Sharp, Paresh A. Malhotra, Pierre Vandergheynst, Adam Gosztolai

ICLRW 2022 Deep Sharpening of Topological Features for De Novo Protein Design Zander Harteveld, Joshua Southern, Michaël Defferrard, Andreas Loukas, Pierre Vandergheynst, Micheal Bronstein, Bruno Correia

NeurIPS 2022 Generalised Implicit Neural Representations Daniele Grattarola, Pierre Vandergheynst

ICML 2018 Fast Approximate Spectral Clustering for Dynamic Networks Lionel Martin, Andreas Loukas, Pierre Vandergheynst

ICML 2018 Spectrally Approximating Large Graphs with Smaller Graphs Andreas Loukas, Pierre Vandergheynst

ICML 2016 Compressive Spectral Clustering Nicolas Tremblay, Gilles Puy, Remi Gribonval, Pierre Vandergheynst

NeurIPS 2016 Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst

CVPR 2015 Functional Correspondence by Matrix Completion Artiom Kovnatsky, Michael M. Bronstein, Xavier Bresson, Pierre Vandergheynst

ICCVW 2015 Geodesic Convolutional Neural Networks on Riemannian Manifolds Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst

ICCV 2015 Robust Principal Component Analysis on Graphs Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael Bronstein, Pierre Vandergheynst

CVPR 2012 FREAK: Fast Retina Keypoint Alexandre Alahi, Raphael Ortiz, Pierre Vandergheynst

CVPRW 2006 Audiovisual Gestalts Gianluca Monaci, Pierre Vandergheynst