most citedSTG-GAN: A spatiotemporal graph generative adversarial networks for short-term passenger flow prediction in urban rail transit systems

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 4 cited

STG-GAN: A spatiotemporal graph generative adversarial networks for short-term passenger flow prediction in urban rail transit systems

Jinlei Zhang, Hua Li, Lixing Yang +3

Short-term passenger flow prediction is an important but challenging task for better managing urban rail transit (URT) systems. Some emerging deep learning models provide good insi…