One Model Fits All: Cross-Region Taxi-Demand Forecasting-Reference-Cited by-同舟云学术

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One Model Fits All: Cross-Region Taxi-Demand Forecasting

Published:2023-11-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems
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Author:

Ozeki Ren¹^ORCID,Yonekura Haruki¹^ORCID,Baimbetova Aidana¹^ORCID,Rizk Hamada¹²^ORCID,Yamaguchi Hirozumi¹^ORCID

Affiliation:

1. Osaka University, Suita, Japan

2. Tanta University, Tanta, Egypt

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589132.3625651

Reference11 articles.

1. node2vec

2. Thomas N Kipf and Max Welling . 2016. Variational graph auto-encoders. arXiv preprint arXiv:1611.07308 ( 2016 ). Thomas N Kipf and Max Welling. 2016. Variational graph auto-encoders. arXiv preprint arXiv:1611.07308 (2016).

3. Thomas N. Kipf and Max Welling . 2017 . Semi-Supervised Classification with Graph Convolutional Networks . arXiv:1609.02907 [cs.LG] Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. arXiv:1609.02907 [cs.LG]

4. Robust taxi dispatch under model uncertainties

5. Data-Driven Robust Taxi Dispatch Under Demand Uncertainties

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