ZIGNANI, MATTEO
ZIGNANI, MATTEO
Dipartimento di Informatica Giovanni Degli Antoni
Representation of the temporal ego-networks through graph evolution rules: a tool for Web3 applications
2026 A. Galdeman, M. Zignani, C. Quadri, S. Gaito
Fine-Tuning Foundation Models for Temporal Knowledge Graph Reasoning
2026 M. Dileo, P. Minervini, M. Zignani
Tensor factorization for temporal knowledge graph forecasting
2026 M. Dileo, P. Minervini, M. Zignani, S. Gaito
Exploring Time-Ordered Triadic Closure in Online Social Networks
2025 A. Galdeman, C.T. Ba, M. Zignani, S. Gaito
Enhancing neural link predictors for temporal knowledge graphs with temporal regularisers
2025 M. Dileo, P. Minervini, M. Zignani, S. Gaito
Investigating the Luna-Terra Collapse through the Temporal Multilayer Graph Structure of the Ethereum Stablecoin Ecosystem
2025 C.T. Ba, B. Steer, M. Zignani, R. Clegg
Characterizing NFT markets through a multilayer network approach
2025 A. Galdeman, L. La Cava, M. Zignani, A. Tagarelli, S. Gaito
Network Science Meets AI: A Converging Frontier
2025 M. Zignani, F.D. Malliaros, I. Scholtes, R. Interdonato, M. Dileo
Analyzing user migration in blockchain online social networks through network structure and discussion topics of communities on multilayer networks
2025 C.T. Ba, M. Dileo, A. Galdeman, M. Zignani, S. Gaito
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
User migration in blockchain-based online social networks through the lens of temporal node representation shift
2025 M. Dileo, M. Zignani
Graph evolution rules for node temporal behavior representation
2025 A. Galdeman, M. Zignani, C. Quadri, S. Gaito
Evaluating explainability techniques on discrete-time graph neural networks
2025 M. Dileo, M. Zignani, 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
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
Graph Machine Learning for Fast Product Development from Formulation Trials
2024 M. Dileo, R. Olmeda, M. Pindaro, M. Zignani
Network-wide shocking events through the lens of node representation shift
2024 M. Dileo, M. Zignani
Discrete-time graph neural networks for transaction prediction in Web3 social platforms
2024 M. Dileo, M. Zignani
User Migration Across Web3 Online Social Networks: Behaviors and Influence of Hubs
2023 A. Galdeman, M. Zignani, S. Gaito