| dc.contributor |
Massachusetts Institute of Technology. Department of Urban Studies and Planning |
|
| dc.contributor |
Massachusetts Institute of Technology. Media Laboratory |
|
| dc.contributor |
Massachusetts Institute of Technology. Human Dynamics Group |
|
| dc.contributor |
Massachusetts Institute of Technology. School of Architecture and Planning |
|
| dc.creator |
Zhuang, Dingyi |
|
| dc.creator |
Wang, Shenhao |
|
| dc.creator |
Koutsopoulos, Haris |
|
| dc.creator |
Zhao, Jinhua |
|
| dc.date |
2022-11-09T18:38:27Z |
|
| dc.date |
2022-11-09T18:38:27Z |
|
| dc.date |
2022-08-14 |
|
| dc.date |
2022-11-03T01:05:58Z |
|
| dc.date.accessioned |
2023-02-17T19:56:20Z |
|
| dc.date.available |
2023-02-17T19:56:20Z |
|
| dc.identifier |
978-1-4503-9385-0 |
|
| dc.identifier |
https://hdl.handle.net/1721.1/146261 |
|
| dc.identifier |
Zhuang, Dingyi, Wang, Shenhao, Koutsopoulos, Haris and Zhao, Jinhua. 2022. "Uncertainty Quantification of Sparse Trip Demand Prediction with Spatial-Temporal Graph Neural Networks." |
|
| dc.identifier |
PUBLISHER_POLICY |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/242055 |
|
| dc.format |
application/pdf |
|
| dc.language |
en |
|
| dc.publisher |
ACM|Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining USB |
|
| dc.relation |
https://doi.org/10.1145/3534678.3539093 |
|
| dc.rights |
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. |
|
| dc.rights |
The author(s) |
|
| dc.source |
ACM|Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining USB |
|
| dc.title |
Uncertainty Quantification of Sparse Trip Demand Prediction with Spatial-Temporal Graph Neural Networks |
|
| dc.type |
Article |
|
| dc.type |
http://purl.org/eprint/type/ConferencePaper |
|