Matteo Zignani

Associate Professor

Aritificial Intelligence



Recent publications

Representation of the temporal ego-networks through graph evolution rules: a tool for Web3 applications

A. Galdeman, M. Zignani, C. Quadri, S. Gaito

ITADATA 2025 : Italian Conference on Big Data and Data Science 2025

Analyzing user migration in blockchain online social networks through network structure and discussion topics of communities on multilayer networks

C. T. Ba, M. Dileo, A. Galdeman, M. Zignani, S. Gaito

DISTRIBUTED LEDGER TECHNOLOGIES

Characterizing NFT markets through a multilayer network approach

A. Galdeman, L. La Cava, M. Zignani, A. Tagarelli, S. Gaito

BLOCKCHAIN: RESEARCH AND APPLICATIONS

Enhancing neural link predictors for temporal knowledge graphs with temporal regularisers

M. Dileo, P. Minervini, M. Zignani, S. Gaito

ESANN 2025 : Proceedings

Evaluating explainability techniques on discrete-time graph neural networks

M. Dileo, M. Zignani, S. Gaito

TRANSACTIONS ON MACHINE LEARNING RESEARCH

Exploring Time-Ordered Triadic Closure in Online Social Networks

A. Galdeman, C. T. Ba, M. Zignani, S. Gaito

ACM TRANSACTIONS ON THE WEB

Graph evolution rules for node temporal behavior representation

A. Galdeman, M. Zignani, C. Quadri, S. Gaito

DS-LB 2024 : DS Late Breaking Contributions 2024

Graph evolution rules meet communities: assessing global and local patterns in the evolution of dynamic networks

A. Galdeman, M. Zignani, S. Gaito

BIG DATA MINING AND ANALYTICS

Investigating the Luna-Terra Collapse through the Temporal Multilayer Graph Structure of the Ethereum Stablecoin Ecosystem

C. T. Ba, B. Steer, M. Zignani, R. Clegg

ACM TRANSACTIONS ON THE WEB

Network Science Meets AI: A Converging Frontier

M. Zignani, F. D. Malliaros, I. Scholtes, R. Interdonato, M. Dileo

ESANN 2025 : Proceedings

RNA knowledge-graph analysis through homogeneous embedding methods

F. Torgano, M. Soto Gomez, M. Zignani, J. Gliozzo, E. Cavalleri, M. Mesiti, E. Casiraghi, G. Valentini

BIOINFORMATICS ADVANCES

Discrete-time graph neural networks for transaction prediction in Web3 social platforms

M. Dileo, M. Zignani

MACHINE LEARNING

Graph Machine Learning for Fast Product Development from Formulation Trials

M. Dileo, R. Olmeda, M. Pindaro, M. Zignani

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track. ECML PKDD

Link prediction heuristics for temporal graph benchmark

M. Dileo, M. Zignani

ESANN 2024 : Proceedings

Mining resources, the inconvenient truth of the “ecological” transition

J. Bourgoin, R. Interdonato, Q. Grislain, M. Zignani, S. Gaito

WORLD DEVELOPMENT PERSPECTIVES

Network-wide shocking events through the lens of node representation shift

M. Dileo, M. Zignani

DS-LB 2024 : DS Late Breaking Contributions 2024

Characterizing growth in decentralized socio-economic networks through triadic closure-related network motifs

C. T. Ba, M. Zignani, S. Gaito

ONLINE SOCIAL NETWORKS AND MEDIA

Cooperative behavior in blockchain-based complementary currency networks through time: The Sarafu case study

C. T. Ba, M. Zignani, S. Gaito

FUTURE GENERATION COMPUTER SYSTEMS

Could Emergency Calls and Twitter Activity Help to Prevent Health System Overloads Due to CoViD-19 Epidemic? Wavelets and Cross- Correlation as Useful Tools for Time-Frequency Signal Analysis: Lessons from Italian Lombardy Region

B. Alessandro Rivieccio, A. Micheletti, M. Maffeo, M. Zignani, A. Comunian, F. Nicolussi, S. Salini, G. Manzi, F. Auxilia, M. Giudici, G. Naldi, S. T. Gaito, S. Castaldi, E. Biganzoli

Proceedings of the COVid-19 Empirical Research (COVER)

Disentangling the Growth of Blockchain-based Networks by Graph Evolution Rule Mining

A. Galdeman, M. Zignani, S. Gaito

2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)

Fork-based user migration in Blockchain Online Social Media

C. T. Ba, A. Michienzi, B. Guidi, M. Zignani, L. Ricci, S. Gaito

WebSci '22

Link Prediction with Text in Online Social Networks: The Role of Textual Content on High-Resolution Temporal Data

M. Dileo, C. T. Ba, M. Zignani, S. Gaito

Discovery Science

Temporal analysis of cooperative behaviour in a blockchain for humanitarian aid during the COVID-19 pandemic

C. T. Ba, A. Galdeman, M. Zignani, S. T. Gaito

GoodIT '22: Proceedings

Web3 Social Platforms: Modeling, Mining and Evolution

C. T. Ba, A. Galdeman, M. Dileo, C. Quadri, M. Zignani, S. Gaito

ITADATA 2022 : Italian Conference on Big Data and Data Science 2022