Author:
Zhang Junhao,Jin Juncheng,Tang Junjie,Qu Zehui
Publisher
Springer Nature Switzerland
Reference25 articles.
1. Bai, L., Yao, L., Kanhere, S.S., Yang, Z., Chu, J., Wang, X.: Passenger demand forecasting with multi-task convolutional recurrent neural networks. In: PAKDD (2019)
2. Bai, L., Yao, L., Li, C., Wang, X., Wang, C.: Adaptive graph convolutional recurrent network for traffic forecasting. In: NeurIPS (2020)
3. Cai, L., Janowicz, K., Mai, G., Yan, B., Zhu, R.: Traffic transformer: capturing the continuity and periodicity of time series for traffic forecasting. Trans. GIS 24(3), 736–755 (2020). Jun
4. Chen, C., Liu, Y., Chen, L., Zhang, C.: Bidirectional spatial-temporal adaptive transformer for urban traffic flow forecasting. IEEE Trans. Neural Netw. Learn. Syst. (2022)
5. Choi, J., Choi, H., Hwang, J., Park, N.: Graph neural controlled differential equations for traffic forecasting. In: AAAI, pp. 6367–6374 (2022)
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