Hao Fu, Zhong Wang, Yang Yu, Xianwei Meng, Guiquan Liu. Traffic Flow Driven Spatio-Temporal Graph Convolutional Network for Ride-Hailing Demand Forecasting. In Kamal Karlapalem, Hong Cheng 001, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty, editors, Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I. Volume 12712 of Lecture Notes in Computer Science, pages 754-765, Springer, 2021. [doi]
@inproceedings{FuWYML21,
title = {Traffic Flow Driven Spatio-Temporal Graph Convolutional Network for Ride-Hailing Demand Forecasting},
author = {Hao Fu and Zhong Wang and Yang Yu and Xianwei Meng and Guiquan Liu},
year = {2021},
doi = {10.1007/978-3-030-75762-5_59},
url = {https://doi.org/10.1007/978-3-030-75762-5_59},
researchr = {https://researchr.org/publication/FuWYML21},
cites = {0},
citedby = {0},
pages = {754-765},
booktitle = {Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I},
editor = {Kamal Karlapalem and Hong Cheng 001 and Naren Ramakrishnan and R. K. Agrawal and P. Krishna Reddy and Jaideep Srivastava and Tanmoy Chakraborty},
volume = {12712},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-75762-5},
}