1. Ahmed, M.S., Cook, A.R.: Analysis of freeway traffic time-series data by using Box-Jenkins techniques, No. 722 (1979)
2. BAI, L., Yao, L., Li, C., Wang, X., Wang, C.: Adaptive graph convolutional recurrent network for traffic forecasting. In: NeurIPS, vol. 33, pp. 17804–17815 (2020)
3. Chen, Y., Segovia, I., Gel, Y.R.: Z-GCNETs: time zigzags at graph convolutional networks for time series forecasting. In: ICML, vol. 139, pp. 1684–1694 (2021)
4. Fang, Z., Long, Q., Song, G., Xie, K.: Spatial-temporal graph ODE networks for traffic flow forecasting. In: SIGKDD, pp. 364–373 (2021)
5. Grover, A., Leskovec, J.: node2vec: scalable feature learning for networks. In: SIGKDD, pp. 855–864 (2016)