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Recommendations for the article Sparse Graph Learning from Spatiotemporal Time Series
Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
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visibility_off | Graph Deep Learning for Time Series Forecasting | Andrea Cini, Ivan Marisca, Daniele Zambon, C. Alippi | 2023-10-24 | ArXiv | 9 | 50 |
visibility_off | Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting | Ngoc-Dung Do, T. Hy, D. Nguyen | 2023-06-29 | ArXiv | 0 | 8 |
visibility_off | TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting | Nancy R. Xu, Chrysoula Kosma, M. Vazirgiannis | 2023-07-27 | ArXiv | 3 | 56 |
visibility_off | Balanced Graph Structure Learning for Multivariate Time Series Forecasting | Weijun Chen, Yanze Wang, Chengshuo Du, Zhenglong Jia, Feng Liu, Ran Chen | 2022-01-24 | ArXiv | 1 | 11 |
visibility_off | A Study of Joint Graph Inference and Forecasting | Daniel Zügner, François-Xavier Aubet, Victor Garcia Satorras, Tim Januschowski, Stephan Günnemann, Jan Gasthaus | 2021-09-10 | ArXiv | 12 | 47 |
visibility_off | Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting | Hongyuan Yu, Ting Li, Weichen Yu, Jianguo Li, Yan Huang, Liang Wang, A. Liu | 2022-07-01 | ArXiv, DBLP | 45 | 36 |
visibility_off | Discrete Graph Structure Learning for Forecasting Multiple Time Series | Chao Shang, Jie Chen, J. Bi | 2021-01-18 | ArXiv | 206 | 38 |
visibility_off | Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting | Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. A. Prakash | 2024-07-02 | ArXiv | 0 | 10 |
Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |