Xie, Y., Yang, J., Zhang, H., Hou, Y., & Li, Z. (2026). Dynamic and multigraph fusion spatio-temporal graph convolution network for short-term forecasting of urban rail transit passenger flow. Journal of Intelligent Transportation Systems, 30(4), 924. https://doi.org/10.1080/15472450.2025.2499584
Chicago Style (17th ed.) CitationXie, Yuchen, Jing Yang, Hongliang Zhang, Yuqing Hou, and Zhihong Li. "Dynamic and Multigraph Fusion Spatio-temporal Graph Convolution Network for Short-term Forecasting of Urban Rail Transit Passenger Flow." Journal of Intelligent Transportation Systems 30, no. 4 (2026): 924. https://doi.org/10.1080/15472450.2025.2499584.
MLA (9th ed.) CitationXie, Yuchen, et al. "Dynamic and Multigraph Fusion Spatio-temporal Graph Convolution Network for Short-term Forecasting of Urban Rail Transit Passenger Flow." Journal of Intelligent Transportation Systems, vol. 30, no. 4, 2026, p. 924, https://doi.org/10.1080/15472450.2025.2499584.