Scholar
Paolo Frazzetto
Google Scholar ID: P5qf_aoAAAAJ
Postdoctoral Researcher, ML Group, University of Padova
Citations & Impact
Citations
27
H-index
4
i10-index
0
Publications
16
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers on topics such as Graph Neural Networks, Shapley value computation, and Physics-Informed Graph Neural Cellular Automata, including 'Graph Neural Networks for Candidate-Job Matching: An Inductive Learning Approach' and 'Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks'.
Research Experience
- Currently working at the Machine Learning Group of the University of Padova on the SymboliG project, researching how to apply symbolic and domain knowledge for Generative AI. During his Ph.D., he worked on AI Applications with Human Resources Data at Amajor SB S.p.a.
Education
- Ph.D. in Brain, Mind and Computer Science from the University of Padova, supervised by Prof. Alessandro Sperduti; Visiting Ph.D. Student at HammerLab, Bielefeld University, Germany for six months.
Background
- Postdoctoral Researcher in Machine Learning, with a broad interest in Statistical and Machine Learning, particularly in techniques for structured data, Graph Neural Networks, and Deep Learning applied to natural and social sciences.
Miscellany
- Actively seeking new research positions and available to relocate globally from September/October 2025.
