STA-former: encoding traffic flows with spatio-temporal associations in transformer networks for prediction
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangxi Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10586-024-04462-y.pdf
Reference51 articles.
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2. Zhang, J., Zheng, Y., Qi, D.: Deep spatio-temporal residual networks for citywide crowd flows prediction. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, vol. 31, no. 1, pp. 1655–1661 (2017). https://doi.org/10.1609/aaai.v31i1.10735
3. Wang, S., Cao, J., Chen, H., Peng, H., Huang, Z.: SeqST-GAN: Seq2seq generative adversarial nets for multi-step urban crowd flow prediction. ACM Trans. Spat. Algorithms Syst. 6(4), 1–24 (2020). https://doi.org/10.1145/3378889
4. Li, F., Feng, J., Yan, H., Jin, G., Yang, F., Sun, F., Jin, D., Li, Y.: Dynamic graph convolutional recurrent network for traffic prediction: benchmark and solution. ACM Trans. Knowl. Discov. Data 17(1), 1–21 (2023). https://doi.org/10.1145/3532611
5. Bai, L., Yao, L., Li, C., Wang, X., Wang, C.: Adaptive graph convolutional recurrent network for traffic forecasting. In: Proceedings of the 33st International Conference on Neural Information Processing Systems, vol. 33, pp. 17804–17815 (2020). https://doi.org/10.48550/arXiv.2007.02842
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