Uncertainty quantification of spatiotemporal travel demand with probabilistic graph neural networks

Q Wang, S Wang, D Zhuang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Recent studies have significantly improved the prediction accuracy of travel demand using
graph neural networks. However, these studies largely ignored uncertainty that inevitably …
被引用次数：11 相关文章

Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks

Q Wang, S Wang, D Zhuang, H Koutsopoulos… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Recent studies have significantly improved the prediction accuracy of travel demand using
graph neural networks. However, these studies largely ignored uncertainty that inevitably …

Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks

Q Wang, S Wang, D Zhuang, H Koutsopoulos… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent studies have significantly improved the prediction accuracy of travel demand using
graph neural networks. However, these studies largely ignored uncertainty that inevitably …

Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks

Q Wang, S Wang, D Zhuang, H Koutsopoulos, J Zhao - 2023 - europepmc.org
Recent studies have significantly improved the prediction accuracy of travel demand using
graph neural networks. However, these studies largely ignored uncertainty that inevitably …