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Recommendations for the article Graph Deep Learning for Time Series Forecasting
| Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
|---|---|---|---|---|---|---|
| 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 | Sparse Graph Learning from Spatiotemporal Time Series | Andrea Cini, Daniele Zambon, C. Alippi | 2022-05-26 | J. Mach. Learn. Res. | 14 | 50 |
| 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 | Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks | Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang | 2020-05-24 | Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | 1157 | 57 |
| visibility_off | DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series | Abishek Sriramulu, Nicolas Fourrier, Christoph Bergmeir | 2024-05-29 | ArXiv | 0 | 4 |
| 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 | 64 | 6 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |