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Recommendations for the article Taming Local Effects in Graph-based Spatiotemporal Forecasting
| Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
|---|---|---|---|---|---|---|
| visibility_off | Graph Deep Learning for Time Series Forecasting | Andrea Cini, Ivan Marisca, Daniele Zambon, C. Alippi | 2023-10-24 | ArXiv | 4 | 49 |
| visibility_off | Scalable Spatiotemporal Graph Neural Networks | Andrea Cini, Ivan Marisca, F. Bianchi, C. Alippi | 2022-09-14 | ArXiv | 27 | 49 |
| visibility_off | Sparse Graph Learning from Spatiotemporal Time Series | Andrea Cini, Daniele Zambon, C. Alippi | 2022-05-26 | J. Mach. Learn. Res. | 10 | 49 |
| visibility_off | Unified Spatio-Temporal Graph Neural Networks: Data-Driven Modeling for Social Science | Yifan Li, Yu Lin, Y. Gao, L. Khan | 2022-07-18 | 2022 International Joint Conference on Neural Networks (IJCNN) | 0 | 11 |
| visibility_off | ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks | Wanlin Cai, Kun Wang, Hao Wu, Xiaoxu Chen, Yuankai Wu | 2024-05-28 | ArXiv | 0 | 3 |
| visibility_off | FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective | Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbin Cao, Zhendong Niu | 2023-11-10 | ArXiv | 17 | 4 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |