Pietro Lio

Pubblicazioni

Titolo Pubblicato in Anno
gRNAde: A Geometric Deep Learning Pipeline for 3D RNA Inverse Design Methods in Molecular Biology 2025
A conditional protein diffusion model generates artificial programmable endonuclease sequences with enhanced activity CELL DISCOVERY 2024
Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting NATURE COMMUNICATIONS 2024
Intratumoral antigen signaling traps CD8+ T cells to confine exhaustion to the tumor site SCIENCE IMMUNOLOGY 2024
Adaptive multi-scale Graph Neural Architecture Search framework NEUROCOMPUTING 2024
Self-simulation and Meta-Model Aggregation Based Heterogeneous Graph Coupled Federated Learning IEEE INTERNET OF THINGS JOURNAL 2024
Dual-stream multi-dependency graph neural network enables precise cancer survival analysis MEDICAL IMAGE ANALYSIS 2024
Elegans-AI: How the connectome of a living organism could model artificial neural networks NEUROCOMPUTING 2024
Leveraging graph neural networks for supporting automatic triage of patients SCIENTIFIC REPORTS 2024
Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2024
On synergy between ultrahigh throughput screening and machine learning in biocatalyst engineering FARADAY DISCUSSIONS 2024
SNDGCN: Robust Android malware detection based on subgraph network and denoising GCN network EXPERT SYSTEMS WITH APPLICATIONS 2024
Using AI explainable models and handwriting/drawing tasks for psychological well-being INFORMATION SYSTEMS 2024
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning Proceedings of Machine Learning Research 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Proceedings of Machine Learning Research 2024
Denoising Probabilistic Diffusion Models for Synthetic Healthcare Image Generation 2024 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2024 - Proceedings 2024
Categorical Foundation of Explainable AI: A Unifying Theory Communications in Computer and Information Science 2024
State of the Art and Potentialities of Graph-level Learning ACM COMPUTING SURVEYS 2024
LandSin: A differential ML and google API-enabled web server for real-time land insights and beyond[Formula presented] SOFTWARE IMPACTS 2024

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma