Manuel Dileo

According to our database, Manuel Dileo authored at least 20 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Tensor factorization for temporal knowledge graph forecasting.

Manuel Dileo, Pasquale Minervini, Matteo Zignani, Sabrina Gaito

Neurocomputing, 2026

Learning and Reasoning on Knowledge and Heterogeneous Graphs in the era of Graph Foundation and Large Language Models.

Matteo Zignani, Pasquale Minervini, Roberto Interdonato, Manuel Dileo

Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025

User migration in blockchain-based online social networks through the lens of temporal node representation shift.

Manuel Dileo, Matteo Zignani

Mach. Learn., December, 2025

Analyzing User Migration in Blockchain Online Social Networks through Network Structure and Discussion Topics of Communities on Multilayer Networks.

Cheick Tidiane Ba, Manuel Dileo, Alessia Galdeman, Matteo Zignani, Sabrina Gaito

Distributed Ledger Technol. Res. Pract., June, 2025

Evaluating explainability techniques on discrete-time graph neural networks.

Manuel Dileo, Matteo Zignani, Sabrina Gaito

Trans. Mach. Learn. Res., 2025

DNN-Controlled Multi-Technology Platooning.

Christian Quadri, Manuel Dileo, Vincenzo Mancuso, Marco Ajmone Marsan

Proceedings of the IEEE Vehicular Networking Conference, 2025

Network Science Meets AI: A Converging Frontier.

Matteo Zignani, Fragkiskos D. Malliaros, Ingo Scholtes, Roberto Interdonato, Manuel Dileo

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

Enhancing neural link predictors for temporal knowledge graphs with temporal regularisers.

Manuel Dileo, Pasquale Minervini, Matteo Zignani, Sabrina Gaito

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

A discrete-time deep learning framework for temporal heterogeneous networks forecasting.

Manuel Dileo, Matteo Zignani, Sabrina Gaito

Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025

2024

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

Manuel Dileo, Matteo Zignani

Mach. Learn., September, 2024

Temporal graph learning for dynamic link prediction with text in online social networks.

Manuel Dileo, Matteo Zignani, Sabrina Gaito

Mach. Learn., April, 2024

Graph Machine Learning for Fast Product Development from Formulation Trials.

Manuel Dileo, Raffaele Olmeda, Margherita Pindaro, Matteo Zignani

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Can Graph Neural Networks learn node-level structural features?

Manuel Dileo, Matteo Zignani

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Link prediction heuristics for temporal graph benchmark.

Manuel Dileo, Matteo Zignani

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

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

Manuel Dileo, Matteo Zignani

Proceedings of the Discovery Science Late Breaking Contributions 2024 (DS-LB 2024) co-located with 27th International Conference Discovery Science 2024 (DS 2024), 2024

2023

DURENDAL: Graph deep learning framework for temporal heterogeneous networks.

Manuel Dileo, Matteo Zignani, Sabrina Gaito

CoRR, 2023

Temporal Smoothness Regularisers for Neural Link Predictors.

Manuel Dileo, Pasquale Minervini, Matteo Zignani, Sabrina Gaito

CoRR, 2023

User migration prediction in blockchain socioeconomic networks using graph neural networks.

Cheick Tidiane Ba, Alessia Galdeman, Manuel Dileo, Matteo Zignani, Sabrina Gaito

Proceedings of the 2023 ACM Conference on Information Technology for Social Good, 2023

2022

Web3 Social Platforms: Modeling, Mining and Evolution.

Cheick Tidiane Ba, Alessia Galdeman, Manuel Dileo, Christian Quadri, Matteo Zignani, Sabrina Gaito

Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), 2022

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

Manuel Dileo, Cheick Tidiane Ba, Matteo Zignani, Sabrina Gaito

Proceedings of the Discovery Science - 25th International Conference, 2022