Members
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.
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
Purificato, Antonio; Cassarà, Giulia; Siciliano, Federico; Liò, Pietro; Silvestri, Fabrizio;
2025
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection
Filippo Betello, Antonio Purificato, Vittoria Vineis, Gabriele Tolomei, Fabrizio Silvestri
2025
Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks
Giovanni Trappolini, Antonio Purificato, Federico Siciliano, Luigi D’Addona, Anna Maria Spagnolo, Domenico Dato, Fabrizio Silvestri
2025
A Reproducible Analysis of Sequential Recommender Systems
Betello, Filippo; Purificato, Antonio; Siciliano, Federico; Trappolini, Giovanni; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
Eco-Aware Graph Neural Networks for Sustainable Recommendations
Purificato, Antonio; Silvestri, Fabrizio;
2024
The Majority Vote Paradigm Shift: When Popular Meets Optimal
Antonio Purificato, Maria Sofia Bucarelli, Anil Kumar Nelakanti, Andrea Bacciu, Fabrizio Silvestri, Amin Mantrach
2024
Want to print your doc?
This is not the way.
This is not the way.
Try clicking the ⋯ next to your doc name or using a keyboard shortcut (
CtrlP
) instead.