ZIGNANI, MATTEO
ZIGNANI, MATTEO
Dipartimento di Informatica Giovanni Degli Antoni
RNA knowledge-graph analysis through homogeneous embedding methods
2025 F. Torgano, M. Soto Gomez, M. Zignani, J. Gliozzo, E. Cavalleri, M. Mesiti, E. Casiraghi, G. Valentini
Evaluating explainability techniques on discrete-time graph neural networks
2025 M. Dileo, M. Zignani, S. Gaito
Graph evolution rules for node temporal behavior representation
2025 A. Galdeman, M. Zignani, C. Quadri, S. Gaito
Graph evolution rules meet communities: assessing global and local patterns in the evolution of dynamic networks
2025 A. Galdeman, M. Zignani, S. Gaito
Enhancing neural link predictors for temporal knowledge graphs with temporal regularisers
2025 M. Dileo, P. Minervini, M. Zignani, S. Gaito
Network Science Meets AI: A Converging Frontier
2025 M. Zignani, F.D. Malliaros, I. Scholtes, R. Interdonato, M. Dileo
Exploring Time-Ordered Triadic Closure in Online Social Networks
2025 A. Galdeman, C.T. Ba, M. Zignani, S. Gaito
Discrete-time graph neural networks for transaction prediction in Web3 social platforms
2024 M. Dileo, M. Zignani
Graph Machine Learning for Fast Product Development from Formulation Trials
2024 M. Dileo, R. Olmeda, M. Pindaro, M. Zignani
Analyzing user migration in blockchain online social networks through network structure and discussion topics of communities on multilayer networks
2024 C.T. Ba, M. Dileo, A. Galdeman, M. Zignani, S. Gaito
Network-wide shocking events through the lens of node representation shift
2024 M. Dileo, M. Zignani
Mining resources, the inconvenient truth of the “ecological” transition
2024 J. Bourgoin, R. Interdonato, Q. Grislain, M. Zignani, S. Gaito
Link prediction heuristics for temporal graph benchmark
2024 M. Dileo, M. Zignani
Cooperative behavior in blockchain-based complementary currency networks through time: The Sarafu case study
2023 C.T. Ba, M. Zignani, S. Gaito
User Migration Across Web3 Online Social Networks: Behaviors and Influence of Hubs
2023 A. Galdeman, M. Zignani, S. Gaito
User migration prediction in blockchain socioeconomic networks using graph neural networks
2023 C.T. Ba, A. Galdeman, M. Dileo, M. Zignani, S. Gaito
Characterizing growth in decentralized socio-economic networks through triadic closure-related network motifs
2023 C.T. Ba, M. Zignani, S. Gaito
Temporal graph learning for dynamic link prediction with text in online social networks
2023 M. Dileo, M. Zignani, S. Gaito
Unfolding temporal networks through statistically significant graph evolution rules
2023 A. Galdeman, M. Zignani, S. Gaito
Temporal analysis of cooperative behaviour in a blockchain for humanitarian aid during the COVID-19 pandemic
2022 C.T. Ba, A. Galdeman, M. Zignani, S.T. Gaito