Alessio Ragno

Associate Professor (Enseignant-Chercheur) at EPITA

I conduct research in Explainable Artificial Intelligence and Scientific Discovery at EPITA's Research Laboratory (LRE). My work focuses on developing self-explainable models, with a particular emphasis on Graph Neural Networks, Drug Discovery, and Reinforcement Learning. Beyond interpretability for its own sake, I'm passionate about leveraging XAI as a tool to guide and accelerate scientific discovery turning model explanations into actionable insights for real-world applications.

Download CV
Alessio Ragno

Featured Publications

On Logic-based Self-Explainable Graph Neural Networks

Ragno, A.; Plantevit, M.; Robardet, C.
NeurIPS 2025

CIP-Net: Continual Interpretable Prototype-based Network

Di Valerio, F.; Proietti, M.; Ragno, A.; Capobianco, R.
AAAI 2026 (Association for the Advancement of Artificial Intelligence)

Prototype-based Interpretable Graph Neural Networks

Ragno, A.; La Rosa, B.; Capobianco, R.
IEEE Transactions on Artificial Intelligence, 2022

View all publications →

Latest News

View all news →