Using Entropy Metrics to Analyze Information Processing Within Production Systems: The Role of Organizational Constraints. Merode, F.v.; Boersma, H.; Tournois, F.; Winasti, W.; Passos, N.A.R.A.; Ham, A.v.d. (2025). Logistics, 9(2), 46.
NetworkX-Temporal: Building, manipulating, and analyzing dynamic graph structures. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2024). Journal submission.
Deep Community Detection in Attributed Temporal Graphs: Experimental Evaluation of Current Approaches. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2024). In Proceedings of the 3rd Graph Neural Networking Workshop (GNNet’24). Association for Computing Machinery, New York, NY, USA, 1–6.
PubMed-Temporal: A temporal graph dataset with node-level features. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2024). Zenodo: Dataset.
Events
ACM Europe Summer School on HPC Computer Architectures for AI and Dedicated Applications. Student participation. Sep. 2-7, 2024, Barcelona, Spain.
International Conference on the Quality of Information and Communications Technology (QUATIC’24). Assistant co-organizer. Sep. 11-13, 2024, Pisa, Italy.
International Symposium on High-Performance Parallel and Distributed Computing (HPDC’24). Assistant co-organizer. Jun. 3-7, 2024, Pisa, Italy.
International School and Conference on Network Science (NetSciX’24). Poster presentation: ‘‘Deep Community Detection on Attributed Dynamic Graphs with a Spatio-Temporal Graph Neural Network’’. Jan. 22-25, 2024, Venice, Italy.
Lipari School on Computational Complex and Social Systems - Spreading and Accessing Information. Student participation. Jul. 16-22, 2023, Lipari, Italy.
Artificial Intelligence & Society Summer School. Student participation. Jun. 4-9, 2023, La Maddalena, Italy.