Pierre Vandergheynst

Recent Google Scholar Publications

1. Generative modeling of full-atom protein conformations using latent diffusion on graph embeddings
   Advances in Neural Information Processing Systems 38, 25220-25258 , 2026, 2026 | Citations: 1.0
2. Return of chebnet: Understanding and improving an overlooked gnn on long range tasks
   Advances in Neural Information Processing Systems 38, 136166-136196 , 2026, 2026 | Citations: 9.0
3. On vanishing gradients, over-smoothing, and over-squashing in gnns: Bridging recurrent and graph learning
   Advances in Neural Information Processing Systems 38, 74356-74393 , 2026, 2026 | Citations: 45.0
4. Diffusion Processes on Implicit Manifolds
   arXiv preprint arXiv:2604.07213 , 2026, 2026 | Citations: 1.0
5. Learning gene interactions from tabular gene expression data using Graph Neural Networks
   bioRxiv, 2026.03. 19.712949 , 2026, 2026

Links

• ORCID https://orcid.org/0000-0002-9070-900X
• Google Scholar https://scholar.google.com/citations?user=1p9NOFEAAAAJ
• Scopus https://www.scopus.com/authid/detail.uri?authorId=None
• Personal Weblink https://lts2.epfl.ch