Bike flow prediction with multi-graph convolutional networks-Reference-Cited by-同舟云学术

Bike flow prediction with multi-graph convolutional networks

Published:2018-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Author:

Chai Di¹,Wang Leye²,Yang Qiang³

Affiliation:

1. Clustar, Beijing, China and Hong Kong University of Science and Technology, China

2. Peking University, Beijing, China and Hong Kong University of Science and Technology, China

3. Hong Kong University of Science and Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3274895.3274896

Reference12 articles.

1. Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203 2013. Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203 2013.

2. Di Chai Leye Wang and Qiang Yang. Bike flow prediction with multi-graph convolutional networks. arXiv preprint arXiv:1807.10934 2018. Di Chai Leye Wang and Qiang Yang. Bike flow prediction with multi-graph convolutional networks. arXiv preprint arXiv:1807.10934 2018.

3. Dynamic cluster-based over-demand prediction in bike sharing systems

4. Long Short-Term Memory

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