Davide Rigoni, Ph.D.

I am Davide, a postdoctoral researcher in the Department of Mathematics "Tullio Levi-Civita" at the University of Padova. My research focuses on deep generative models for graph generation, under the supervision of Prof. Alessandro Sperduti. A significant aspect of this work involves generating graphs that represent molecules with desired properties, contributing to the discovery of new molecules in collaboration with Prof. Stefano Moro. I also collaborate with the Department of Economics and Management "Marco Fanno" (DSEA) at the University of Padova, supporting the research activities of Prof. Antonio Parbonetti on applying AI to generate knowledge graphs from unstructured data.

I am an active member of the Molecular Modelling Section and Machine Learning Group, as well as the Bioinformatics Italian Society (BITS) and the Institute of Electrical and Electronics Engineers (IEEE).

I earned my Ph.D. in Brain, Mind, and Computer Science (curriculum Computer Science and Innovation for Societal Challenges) from the University of Padova in collaboration with Fondazione Bruno Kessler. Throughout my doctoral program, I conducted research both at the University of Padova in the Machine Learning Group under the supervision of Prof. Alessandro Sperduti, and Fondazione Bruno Kessler in the Data and Knowledge Management Research Unit under the supervision of Prof. Luciano Serafini. Additionally, during my Ph.D. studies, I conducted a research period at the University of Copenhagen under the supervision of Prof. Desmond Elliott. Previously, I received my bachelor's and master's degrees from the School of Computer Science at the University of Padova. During my master's studies, I also had the opportunity to participate in the Erasmus+ program at the Universitat Autònoma de Barcelona.

News

[04/2026] New article: Muhammad Uzair Ul Haq, Davide Rigoni, Alessandro Sperduti. "A Systematic Comparison of Large Language Models for Data Annotation in NER Tasks". Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026), Palma, Mallorca, Spain, 2026.
[03/2026] New article: Samuel Cognolato, Davide Rigoni, Marco Ballarini, Luciano Serafini, Stefano Moro, Alessandro Sperduti. "D4: Distance Diffusion for a Truly Equivariant Molecular Design". Neurocomputing, 2026.
[03/2026] The supplementary cover art for our paper, "MolVE: An Open-Source Web Platform for Visualizing and Evaluating AI-Designed Molecules to Aid in Prioritization", as now been published in the Journal of Chemical Information and Modeling (JCIM)
[02/2026] New article: Davide Rigoni, Alessandro Sperduti, and Stefano Moro. "MolVE: An Open-Source Web Platform for Visualizing and Evaluating AI-Designed Molecules to Aid in Prioritization". Journal of Chemical Information and Modeling, American Chemical Society, 2026.
[01/2026] Special Session Neural Networks for Graphs and Beyond (NN4G+ 2026) organizer at the 2026 ICANN conference, which will be held in Padova, Italy, from Monday 14 to Thursday 17 September 2026.
[01/2026] Invited Speaker to the "Spring Italian Training for AI in Drug Design", Bettona, Italy.
Talk: Generative models for De Novo Drug Design
[01/2026] Special Session Neuro Symbolic AI and Complex Data organizer at the 2026 ESANN conference, which will be held in Bruges, Belgium, from Wednesday 22 to Friday 24 April 2026.
[01/2026] New article: Davide Rigoni, Rana Islek, and Nicolò Navarin. "Ring-constrained Molecular Graph Generation with Diffusion Models". 34th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 2026.
[01/2026] New article: Luca Oneto, Nicolò Navarin, Luca Pasa, Davide Rigoni, and Davide Anguita. "Neuro Symbolic AI and Complex Data". 34th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 2026.
[11/2025] New paper: Davide Rigoni, Matteo Mirafiori, Andrea Padovan, Giuseppe Censi, Alessandro Sperduti. "A Deep Learning Approach to Shell and Tube Heat Exchangers Customization". International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025.

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