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Pietro Li\`o — most-cited papers & profile · AI for Science
← authors
·
overview
Pietro Li\`o
64
papers ·
9480
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
3D Infomax improves GNNs for Molecular Property Prediction
2021 · 85 citations
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
2019 · 69 citations
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
2023 · 54 citations
Modular multi-source prediction of drug side-effects with DruGNN
2022 · 31 citations
On the Expressive Power of Geometric Graph Neural Networks
2023 · 24 citations
Graph Denoising Diffusion for Inverse Protein Folding
2023 · 20 citations
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design
2024 · 11 citations
Understanding Biology in the Age of Artificial Intelligence
2024 · 9 citations
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
2024 · 8 citations
gRNAde: Geometric Deep Learning for 3D RNA inverse design
2023 · 7 citations
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering
2024 · 5 citations
Topotein: Topological Deep Learning for Protein Representation Learning
2025 · 2 citations
SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling
2025 · 1 citations
Sparsity is All You Need: Rethinking Biological Pathway-Informed Approaches in Deep Learning
2025 · 1 citations
CIN++: Enhancing Topological Message Passing
2023 · 1 citations
Top co-authors
Alex Morehead
· 3
Chaitanya K. Joshi
· 3
Charles Harris
· 3
Chaitanya K. Joshi
· 2
Cristian Bodnar
· 2
Francesco Ceccarelli
· 2
Hannes St\"ark
· 2
Lorenzo Giusti
· 2
Miruna Cretu
· 2
Rishabh Anand
· 2
Simon V. Mathis
· 2
Simon V. Mathis
· 2
Topics
Drug Discovery
Chemistry
Protein Science
Genomics
Medical AI
Physics ML
Materials
Climate & Weather
Math & Equations