Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction.

Lei Bai|Lina Yao|Salil S. Kanhere|Xianzhi Wang|Wei Liu|Zheng Yang


Anthology ID:DBLP:conf/cikm/BaiYK0LY19
Volume:Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
Year:2019
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:2293-2296
URL:https://doi.org/10.1145/3357384.3358097
DOI:https://doi.org/10.1145/3357384.3358097
DBLP:conf/cikm/BaiYK0LY19
BibTeX:
@inproceedings{bai-2019-spatiotemporal, author = {Lei Bai and Lina Yao and Salil S. Kanhere and Xianzhi Wang and Wei Liu and Zheng Yang}, editor = {Wenwu Zhu and Dacheng Tao and Xueqi Cheng and Peng Cui and Elke A. Rundensteiner and David Carmel and Qi He and Jeffrey Xu Yu}, title = {{Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction}}, booktitle = {{Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019}}, pages = {2293--2296}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3357384.3358097}, doi = {https://doi.org/10.1145/3357384.3358097} }