E-LIB Suche - Ergebnisse für: Zignani, Matteo

1

Discrete-time graph neural networks for transaction predict..:

Dileo, Manuel ; Zignani, Matteo
Machine Learning. , 2024

Link: https://doi.org/10.1007/..

2

Unfolding temporal networks through statistically significa..:

, In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA),

Galdeman, Alessia ; Zignani, Matteo ; Gaito, Sabrina - p. 1-10 , 2023

Link: https://doi.org/10.1109/..

3

Characterizing growth in decentralized socio-economic netwo..:

Ba, Cheick Tidiane ; Zignani, Matteo ; Gaito, Sabrina
Online Social Networks and Media. 37-38 (2023) - p. 100266 , 2023

Link: https://doi.org/10.1016/..

4

User migration prediction in blockchain socioeconomic netwo..:

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

Ba, Cheick Tidiane ; Galdeman, Alessia ; Dileo, Manuel.. - p. 333-341 , 2023

Link: https://dl.acm.org/doi/1..

5

User Migration Across Web3 Online Social Networks: Behavior..:

, In: ICC 2023 - IEEE International Conference on Communications,

Galdeman, Alessia ; Zignani, Matteo ; Gaito, Sabrina - p. 5595-5601 , 2023

Link: https://doi.org/10.1109/..

6

Temporal graph learning for dynamic link prediction with te..:

Dileo, Manuel ; Zignani, Matteo ; Gaito, Sabrina
Machine Learning. 113 (2023) 4 - p. 2207-2226 , 2023

Link: https://doi.org/10.1007/..

7

Cooperative behavior in blockchain-based complementary curr..:

Ba, Cheick Tidiane ; Zignani, Matteo ; Gaito, Sabrina
Future Generation Computer Systems. 148 (2023) - p. 266-279 , 2023

Link: https://doi.org/10.1016/..

8

Unfolding temporal networks through statistically significa..:

Galdeman, Alessia ; Zignani, Matteo ; Gaito, Sabrina
info:eu-repo/semantics/altIdentifier/isbn/979-8-3503-4503-2. , 2023

Link: https://hdl.handle.net/2..

9

Cooperative behavior in blockchain-based complementary curr..:

Cheick Tidiane Ba ; Matteo Zignani ; Sabrina Gaito
info:eu-repo/semantics/altIdentifier/wos/WOS:001056409000001. , 2023

Link: https://hdl.handle.net/2..

10

Temporal Smoothness Regularisers for Neural Link Predictors:

Dileo, Manuel ; Minervini, Pasquale ; Zignani, Matteo.
http://arxiv.org/abs/2309.09045. , 2023

Link: http://arxiv.org/abs/230..

11

DURENDAL: Graph deep learning framework for temporal hetero..:

Dileo, Manuel ; Zignani, Matteo ; Gaito, Sabrina
http://arxiv.org/abs/2310.00336. , 2023

Link: http://arxiv.org/abs/231..

12

The role of cryptocurrency in the dynamics of blockchain-ba..:

Ba, Cheick Tidiane ; Zignani, Matteo ; Gaito, Sabrina.
PLOS ONE. 17 (2022) 6 - p. e0267612 , 2022

Link: https://doi.org/10.1371/..

13

Temporal analysis of cooperative behaviour in a blockchain ..:

, In: Proceedings of the 2022 ACM Conference on Information Technology for Social Good,

Ba, Cheick Tidiane ; Galdeman, Alessia ; Zignani, Matteo. - p. 292-299 , 2022

Link: https://dl.acm.org/doi/1..

14

Disentangling the Growth of Blockchain-based Networks by Gr..:

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

Galdeman, Alessia ; Zignani, Matteo ; Gaito, Sabrina - p. 1-10 , 2022

Link: https://doi.org/10.1109/..

15

Fork-based user migration in Blockchain Online Social Media:

, In: 14th ACM Web Science Conference 2022,

Ba, Cheick Tidiane ; Michienzi, Andrea ; Guidi, Barbara... - p. 174-184 , 2022

Link: https://dl.acm.org/doi/1..