Recent publications
Preprints
- 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). Preprint. arXiv:2506.22123 [q-bio.PE].
Peer-reviewed
Learning and Clustering on Temporal Graphs: Principles, Primitives, and Pooling. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2026). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD’26): Nectar Track. Naples, Italy, Sep. 7–11, 2026. arXiv:2608.03696 [cs.LG].
Accelerating Dynamic Graph Clustering on GPU Architectures with cuGraph. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2026). In print: Proceedings of the 6th workshop on Flexible Resource and Application Management on the Edge (FRAME@Euro-Par’26). Pisa, Italy, Aug. 24–28, 2026. arXiv:2608.03695 [cs.DC].
Toward Efficient Community Detection on Time-Varying Attributed Graphs. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2026). In print: Proceedings of the 32nd International European Conference on Parallel and Distributed Computing (Euro-Par’26). Pisa, Italy, Aug. 24–28, 2026.
NetworkX-Temporal: Building, manipulating, and analyzing dynamic graph structures. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2025). SoftwareX 31, 102277.
TADC-SBM: a Time-varying, Attributed, Degree-Corrected Stochastic Block Model. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2025). In Proceedings of the 30th IEEE Symposium on Computers and Communications (ISCC’25). IEEE Computer Society, Los Alamitos, CA, USA, 1–6.
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.
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@CoNEXT’24). Association for Computing Machinery, New York, NY, USA, 1–6.
For a full list of contributions including theses, please refer to the CV page or its PDF version.