Uncertainty Quantification of Sparse Trip Demand Prediction with Spatial-Temporal Graph Neural Networks
Name
3534678.3539093.pdf
Size
2.05 MB
Format
Adobe PDF
Checksum (MD5)
16a57a36583a0816587b8930a738ac1c
Author(s)
Zhuang, Dingyi
Wang, Shenhao
Koutsopoulos, Haris
Zhao, Jinhua
Date Issued
August 14, 2022
Publisher
ACM|Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining USB
Citation
Zhuang, Dingyi, Wang, Shenhao, Koutsopoulos, Haris and Zhao, Jinhua. 2022. "Uncertainty Quantification of Sparse Trip Demand Prediction with Spatial-Temporal Graph Neural Networks."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Massachusetts Institute of Technology. Media Laboratory
Massachusetts Institute of Technology. Human Dynamics Group
Massachusetts Institute of Technology. School of Architecture and Planning
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1145/3534678.3539093
