| Link prediction with text in online social networks: The role of textual content on high-resolution temporal data M Dileo, CT Ba, M Zignani, S Gaito International Conference on Discovery Science, 212-226, 2022 | 5 | 2022 |
| Temporal graph learning for dynamic link prediction with text in online social networks M Dileo, M Zignani, S Gaito Machine Learning 113 (4), 2207-2226, 2024 | 2 | 2024 |
| User migration prediction in blockchain socioeconomic networks using graph neural networks CT Ba, A Galdeman, M Dileo, M Zignani, S Gaito Proceedings of the 2023 ACM Conference on Information Technology for Social …, 2023 | 2 | 2023 |
| DURENDAL: Graph deep learning framework for temporal heterogeneous networks M Dileo, M Zignani, S Gaito NeurIPS 2023 Temporal Graph Learning Workshop, 2023 | 1 | 2023 |
| Temporal smoothness regularisers for neural link predictors M Dileo, P Minervini, M Zignani, S Gaito arXiv preprint arXiv:2309.09045, 2023 | 1 | 2023 |
| A Semi-Automatic Approach for feeding Bio-Medical KGs S Bonfitto, M Dileo, E Casiraghi, ST Gaito, G Valentini, M Mesiti | 1 | 2023 |
| Discrete-time graph neural networks for transaction prediction in Web3 social platforms M Dileo, M Zignani Machine Learning, 1-18, 2024 | | 2024 |
| Can Graph Neural Networks learn node-level structural features? M Dileo, M Zignani The Second Tiny Papers Track at ICLR 2024, 2024 | | 2024 |
| Analyzing user migration in blockchain online social networks through network structure and discussion topics of communities on multilayer networks CT Ba, M Dileo, A Galdeman, M Zignani, S Gaito Distributed Ledger Technologies: Research and Practice, 2024 | | 2024 |
| Web3 Social Platforms: Modeling, Mining and Evolution CT Ba, A Galdeman, M Dileo, C Quadri, M Zignani, S Gaito CEUR WORKSHOP PROCEEDINGS 3340, 168-179, 2022 | | 2022 |
| The impact of textual content on link prediction in online social networks M Dileo, CT Ba, M Zignani, S Gaito | | |
| Link prediction in blockchain online social networks with textual information M Dileo, CT Ba, M Zignani, S Gaito | | |
Matteo ZignaniAssociate Professor, Computer Science Department - Università degli Studi di Milano在 unimi.it 的电子邮件经过验证
