Awesome AI for Science
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Pietro Lio — most-cited papers & profile · AI for Science
← authors
·
overview
Pietro Lio
21
papers ·
195
citations ·
73
h-index
University of Cambridge
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Structure-based Drug Design with Equivariant Diffusion Models
2022 · 101 citations
A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems
2023 · 34 citations
Evaluating representation learning on the protein structure universe
2024 · 6 citations
Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease
2024 · 2 citations
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design
2023 · 1 citations
Fourier Neural Differential Equations for learning Quantum Field Theories
2023
Predicting time-varying flux and balance in metabolic systems using structured neural-ODE processes
2024
Top co-authors
Simon V. Mathis
· 2
Alexander Norcliffe
· 1
Alexandre Duval
· 1
Alex Morehead
· 1
Arian Jamasb
· 1
Arian R. Jamasb
· 1
Arne Schneuing
· 1
Bruno Correia
· 1
Carla Gomes
· 1
Chaitanya K Joshi
· 1
Chaitanya K. Joshi
· 1
Charles B. Harris
· 1
Topics
Protein Science
Drug Discovery
Chemistry
Genomics
Math & Equations
Medical AI
Physics ML
Materials