Paolo Frazzetto

According to our database, Paolo Frazzetto authored at least 16 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Local Learning with Boosting-based Backpropagation-Free Graph Neural Networks.

Luca Pasa, Paolo Frazzetto, Nicolò Navarin, Alessandro Sperduti

Mach. Learn., May, 2026

Iterative In-Context Learning to Enhance LLMs Abstract Reasoning: The Case-Study of Algebraic Tasks.

Stefano Fioravanti, Matteo Zavatteri, Roberto Confalonieri, Kamyar Zeinalipour, Paolo Frazzetto, Alessandro Sperduti, Nicolò Navarin

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

Enriching Graph Topology Representations with Line Graph Transformations.

Paolo Frazzetto, Luca Pasa, Nicolò Navarin, Alessandro Sperduti

Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025

Unveiling the Actual Performance of Neural-based Models for Equation Discovery on Graph Dynamical Systems.

Riccardo Cappi, Paolo Frazzetto, Nicolò Navarin, Alessandro Sperduti

CoRR, August, 2025

From Text to Talent: A Pipeline for Extracting Insights from Candidate Profiles.

Paolo Frazzetto, Muhammad Uzair-Ul-Haq, Flavia Fabris, Alessandro Sperduti

CoRR, March, 2025

Logic Explanation of AI Classifiers by Categorical Explaining Functors.

Stefano Fioravanti, Francesco Giannini, Paolo Frazzetto, Fabio Zanasi, Pietro Barbiero

CoRR, March, 2025

Leveraging Deep Learning in Human Resources: A Systematic Investigation of Graph Neural Networks for Candidate-Job Matching.

Paolo Frazzetto

PhD thesis, 2025

Categorical Explaining Functors: Ensuring Coherence in Logical Explanations.

Stefano Fioravanti, Francesco Giannini, Pietro Barbiero, Paolo Frazzetto, Roberto Confalonieri, Fabio Zanasi, Nicolò Navarin

Proceedings of the 22nd International Conference on Principles of Knowledge Representation and Reasoning, 2025

Variational Inference for the Partial Credit Model.

Paolo Frazzetto, Nicolò Navarin, Alessandro Sperduti

Proceedings of the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), 2025

Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks.

Maximilian Muschalik, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, Barbara Hammer

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhancing Predictive Process Monitoring on Small-Scale Event Logs Using LLMs.

Alessandro Padella, Paolo Frazzetto, Nicolò Navarin, Massimiliano de Leoni

Proceedings of the Business Process Management Forum - BPM 2025 Forum, Seville, Spain, August 31, 2025

2024

Improving Soft Skill Extraction via Data Augmentation and Embedding Manipulation.

Muhammad Uzair-Ul-Haq, Paolo Frazzetto, Alessandro Sperduti, Giovanni Da San Martino

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration.

Paolo Frazzetto, Luca Pasa, Nicolò Navarin, Alessandro Sperduti

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling.

Nicolò Navarin, Paolo Frazzetto, Luca Pasa, Pietro Verzelli, Filippo Visentin, Alessandro Sperduti, Cesare Alippi

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Topology preserving maps as aggregations for Graph Convolutional Neural Networks.

Paolo Frazzetto, Luca Pasa, Nicolò Navarin, Alessandro Sperduti

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Enhancing Human Resources through Data Science: a Case in Recruiting.

Paolo Frazzetto, Muhammad Uzair-Ul-Haq, Alessandro Sperduti

Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA 2023), 2023