- Time-varying ecological interactions characterise equilibrium and stability. Caligiuri, A.; Emery, E.; Ferreira, L.; García-Castillo, J.; Lindner, S.D.; Molina-Hernández, J.; Passos, N.A.R.A.; Ribeiro, V.H.; Sartore, M.; Wang, B.; Calleja-Solanas, V. (2025).
- TADC-SBM: Time-varying, Attributed, Degree-Corrected Stochastic Block Model. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2025). Accepted to: 30th IEEE Symposium on Computers and Communications (ISCC). Bologna, Italy, 2025.
- 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). SoftwareX (Submitted).
- 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).
Other contributions
- '’Manipulating temporal networks using NetworkX-Temporal’’. Tutorial presentation. Complexity 72h Workshop. Jun. 24, 2025, Madrid, Spain.
- '’Benchmarking Algorithmic and Neural Approaches for Temporal Community Detection’’. Best Student Lightning Talk Award. International School and Conference on Network Science (NetSci’25). Jun. 2-6, 2025, Maastricht, Netherlands.
- '’Deep Community Detection on Attributed Dynamic Graphs with a Spatio-Temporal Graph Neural Network’’. Poster presentation. International School and Conference on Network Science (NetSciX’24). Jan. 22-25, 2024, Venice, Italy.
Past contributions →
