Antonio Purificato, Maria Sofia Bucarelli, Anil Kumar Nelakanti, Andrea Bacciu, Fabrizio Silvestri, Amin Mantrach "The Majority Vote Paradigm Shift: When Popular Meets Optimal", AISTATS, 2026.
Emanuele Mule, Stefano Fiorini, Antonio Purificato, Federico Siciliano, Stefano Coniglio & Fabrizio Silvestri. Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs, ICLR, 2026.
Betello, Purificato, et al. "A Reproducible Analysis of Sequential Recommender Systems" IEEE Access, 2024.
Trappolini, Purificato, et al. "Quantized Auto Encoder-based Anomaly Detection for Multivariate Time Series Data in 5G Networks" IEEE Access, 2025.
Purificato et al. "Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems", ACM Transactions on Recommender Systems
Siciliano, Purificato, et al. "Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights", IJCNN, 2025
Purificato, Antonio, and Fabrizio Silvestri. "Eco-Aware Graph Neural Networks for Sustainable Recommendations" Recommender Systems for Sustainability and Social Good. RecSoGood 2024.
Purificato, Antonio, and Roberto Navigli. "APatt at semeval-2023 task 3: The sapienza nlp system for ensemble-based multilingual propaganda detection" Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023). 2023.
Filippo Betello, Antonio Purificato, Vittoria Vineis, Gabriele Tolomei, Fabrizio Silvestri "One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection", arXiv.