Filling the g_ap_s: Multivariate time series imputation by graph neural networks A Cini, I Marisca, C Alippi International Conference on Learning Representations (ICLR), 2021 | 91 | 2021 |
Learning to reconstruct missing data from spatiotemporal graphs with sparse observations I Marisca, A Cini, C Alippi Advances in Neural Information Processing Systems (NeurIPS), 2022 | 31 | 2022 |
Scalable Spatiotemporal Graph Neural Networks A Cini, I Marisca, FM Bianchi, C Alippi Proceedings of the 37th AAAI Conference on Artificial Intelligence 37 (6 …, 2023 | 25 | 2023 |
Torch Spatiotemporal, 3 2022 A Cini, I Marisca URL https://github. com/TorchSpatiotemporal/tsl 10, 0 | 15 | |
Taming local effects in graph-based spatiotemporal forecasting A Cini, I Marisca, D Zambon, C Alippi Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
Graph Deep Learning for Time Series Forecasting A Cini, I Marisca, D Zambon, C Alippi arXiv preprint arXiv:2310.15978, 2023 | 5 | 2023 |
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling I Marisca, C Alippi, FM Bianchi arXiv preprint arXiv:2402.10634, 2024 | | 2024 |
Driving exploration in online influence maximization with semi-bandit feedback I MARISCA Politecnico di Milano, 2018 | | 2018 |