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Dominique Beaini — most-cited papers & profile · AI for Science
← authors
·
overview
Dominique Beaini
20
papers ·
395
citations ·
13
h-index
Polytechnique Montréal
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
3D Infomax improves GNNs for Molecular Property Prediction
2021 · 85 citations
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling
2019 · 12 citations
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction
2022 · 10 citations
On the Scalability of GNNs for Molecular Graphs
2024 · 6 citations
Virtual Cells: Predict, Explain, Discover
2025 · 4 citations
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction
2023 · 2 citations
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
2024 · 2 citations
Role of Structural and Conformational Diversity for Machine Learning Potentials
2023 · 1 citations
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
2024 · 1 citations
Towards Autonomous Mechanistic Reasoning in Virtual Cells
2026
Self-Refining Training for Amortized Density Functional Theory
2025
OpenQDC: Open Quantum Data Commons
2024
Top co-authors
Emmanuel Noutahi
· 4
Prudencio Tossou
· 4
Hatem Helal
· 3
Nikhil Shenoy
· 3
Adam Sanders
· 2
Cristian Gabellini
· 2
Deniz Beker
· 2
Dominic Masters
· 2
Frederik Wenkel
· 2
Josef Dean
· 2
Karush Suri
· 2
Kerstin Klaser
· 2
Topics
Chemistry
Drug Discovery
Materials
Medical AI
Genomics
Protein Science
Physics ML