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Stephan G\"unnemann — most-cited papers & profile · AI for Science
← authors
·
overview
Stephan G\"unnemann
60
papers ·
3083
citations
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Most-cited papers
Directional Message Passing for Molecular Graphs
2020 · 353 citations
Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules
2020 · 165 citations
GemNet: Universal Directional Graph Neural Networks for Molecules
2021 · 128 citations
3D Infomax improves GNNs for Molecular Property Prediction
2021 · 85 citations
GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets
2022 · 55 citations
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
2023 · 54 citations
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution
2022 · 43 citations
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
2021 · 12 citations
Ewald-based Long-Range Message Passing for Molecular Graphs
2023 · 6 citations
Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling
2025 · 5 citations
Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions
2021 · 5 citations
Sampling-free Inference for Ab-Initio Potential Energy Surface Networks
2022 · 5 citations
Generalizing Neural Wave Functions
2023 · 3 citations
Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models
2025 · 2 citations
Transition Path Sampling with Boltzmann Generator-based MCMC Moves
2023 · 1 citations
Top co-authors
Nicholas Gao
· 10
Johannes Gasteiger
· 6
Fabian Theis
· 3
Hannes St\"ark
· 3
Leon Hetzel
· 3
David L\"udke
· 2
Eike Eberhard
· 2
Frank No\'e
· 2
Jan Schuchardt
· 2
Johanna Sommer
· 2
Marcel Kollovieh
· 2
Pietro Li\`o
· 2
Topics
Chemistry
Drug Discovery
Materials
Physics ML
Protein Science
Medical AI
Climate & Weather
Genomics