Invited Speaker

1. [2026] Spring Italian Training for AI in Drug Design, Bettona, Italy.
   Talk: Generative models for De Novo Drug Design

Manuscripts

1. Samuel Cognolato, Davide Rigoni, Marco Ballarini, Luciano Serafini, Stefano Moro and Alessandro Sperduti. "D4: Distance Diffusion for a Truly Equivariant Molecular Design". Neurocomputing, 2026. [Manuscript, Code]

2. Muhammad Uzair, Davide Rigoni, Alessandro Sperduti. "A Systematic Comparison of Large Language Models for Data Annotation in NER Tasks". European Language Resources Association, 2026. [Manuscript, Code]

3. Davide Rigoni, Alessandro Sperduti, 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. [Manuscript, Code]

4. Davide Rigoni, Rana Islek, 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. [Manuscript, Code]

5. Luca Oneto, Nicolò Navarin, Luca Pasa, Davide Rigoni, Davide Anguita. "Neuro Symbolic AI and Complex Data". 34th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 2026. [Manuscript]

6. 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. [Manuscript]

7. Samuel Cognolato, Davide Rigoni, Marco Ballarini, Luciano Serafini, Stefano Moro and Alessandro Sperduti. "D4: Distance Diffusion for a Truly Equivariant Molecular Design". 33rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 2025. [Manuscript, Code]

8. Davide Bacciu, Federico Errica, Stefano Moro, Luca Pasa, Davide Rigoni, Daniele Zambon. "Foundation and Generative Models for Graphs". 33rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 2025 [Manuscript]

9. Davide Rigoni, Nicolò Navarin, and Alessandro Sperduti. "RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design." Accepted in Machine Learning Journal. [Manuscript, Code]

10. Tania Bobbo, Filippo Biscarini, Sachithra Yaddehige, Leonardo Alberghini, Davide Rigoni, Nicoletta Bianchi, and Cristian Taccioli. "Machine learning classification of archaea and bacteria identifies novel predictive genomic features". BMC Genomics 25, 955 (2024). [Manuscript]

11. Muhammad Uzair, Davide Rigoni, and Alessandro Sperduti. "Prompt based Data Augmentation using Contrastive Learning under low resource scenario". Accepted at ECAI 2024 - 27th European Conference on Artificial Intelligence, October 19 - October 24, 2024, Santiago de Compostela, Spain. 2024. [Manuscript, Code]

12. Davide Rigoni, et al. "TumFlow: An AI Model for Predicting New Anticancer Molecules." International Journal of Molecular Sciences (2024), 25(11):6186 [Manuscript, Code]

13. Davide Rigoni, Luciano Serafini, and Alessandro Sperduti. "Object search by a concept-conditioned object detector." Neural Computing and Applications (2024): 1-21. [Manuscript, Code]

14. Davide Rigoni. "Understanding Multimedia Content with Prior Knowledge." Università degli studi di Padova (2023). [Manuscript]

15. Davide Rigoni, et al. "Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement." 34th British Machine Vision Conference 2023, BMVC 2023. [Manuscript, Code]

16. Davide Rigoni, Desmond Elliott, and Stella Frank. "Cleaner Categories Improve Object Detection and Visual-Textual Grounding." In Image Analysis: 23rd Scandinavian Conference, SCIA 2023, Sirkka, Finland, April 18–21, 2023, Proceedings, Part I, pp. 412-442. Cham: Springer Nature Switzerland, 2023. [Manuscript, Code]

17. Davide Rigoni, Luciano Serafini, and Alessandro Sperduti. "A better loss for visual-textual grounding." Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 2022. [Manuscript, Code]

18. Davide Rigoni, Nicolò Navarin, and Alessandro Sperduti. "Conditional constrained graph variational autoencoders for molecule design." 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2020. [Manuscript, Code]

19. Davide Rigoni, Navarin Nicolò, and Alessandro Sperduti, A Systematic Assessment of Deep Learning Models for Molecule Generation. In European Symposium on Artificial Neural Networks (ESANN), 2020. [Manuscript, Code]

Thesis

[Master's Degree] Deep Learning Models for Graph Generation. Supervisors: Alessandro Sperduti and Nicolò Navarin.

[Bachelor's Degree] Metaweather: An analysis of weather websites. Supervisors: Massimo Marchiori.