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Antonio Purificato
Hello! I am a second year PhD student in Data Science at Sapienza University of Rome in the Department of Computer, Control and Management Engineering. My PhD is also in collaboration with Amazon . I am working under the guidance of Professor Fabrizio Silvestri and collaborating with the RSTless group. My research interests include Graph Neural Networks and Category Theory, with a focus on the environmental impact of deep learning algorithms. Prior to this, I completed my Master’s Degree in Artificial Intelligence and Robotics at Sapienza University of Rome.
Eco-Aware Graph Neural Networks for Sustainable Recommendations
Purificato, Antonio; Silvestri, Fabrizio;
2024
A Reproducible Analysis of Sequential Recommender Systems
Betello, Filippo; Purificato, Antonio; Siciliano, Federico; Trappolini, Giovanni; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
"Purificato, Antonio; Cassarà, Giulia; Siciliano, Federico; Liò, Pietro; Silvestri, Fabrizio;
2023
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