Origin-destination matrix prediction via graph convolution: a new perspective of passenger demand modeling

Y Wang, H Yin, H Chen, T Wo, J Xu… - Proceedings of the 25th …, 2019 - dl.acm.org
Ride-hailing applications are becoming more and more popular for providing drivers and
passengers with convenient ride services, especially in metropolises like Beijing or New …
被引用次数：250 相关文章

[引用][C] Origin-Destination Matrix Prediction via Graph Convolution

Y Wang, H Yin, H Chen, T Wo, J Xu… - Proceedings of the 25th …, 2019 - cir.nii.ac.jp
Origin-Destination Matrix Prediction via Graph Convolution | CiNii Research CiNii 国立情報学
研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学 …
[PDF] zheng-kai.com

[PDF][PDF] Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling

Y Wang, H Yin, H Chen, T Wo, J Xu, K Zheng - 2019 - zheng-kai.com
Recently, ride-hailing applications are becoming prevalent choices of daily commuting, such
as Didi, UCAR, and Uber, which aim to provide passengers with convenient ride services …

[引用][C] Origin-destination matrix prediction via graph convolution: A new perspective of passenger demand modeling

Y Wang, T Wo, H Yin, J Xu… - Kdd'19: Proceedings …, 2019 - espace.library.uq.edu.au
Ride-hailing applications are becoming more and more popular for providing drivers and
passengers with convenient ride services, especially in metropolises like Beijing or New …
[PDF] zheng-kai.com

[PDF][PDF] Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling

Y Wang, H Yin, H Chen, T Wo, J Xu, K Zheng - 2019 - zheng-kai.com
Recently, ride-hailing applications are becoming prevalent choices of daily commuting, such
as Didi, UCAR, and Uber, which aim to provide passengers with convenient ride services …