Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
This is a Pytorch implementation of SHARE architecture as described in the paper Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction.
If you take advantage of the SHARE model in your research, please cite the following:
@inproceedings{zhang2019semi, title={Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction}, author={Zhang, Weijia and Liu, Hao and Liu, Yanchi and Zhou, Jingbo and Xiong, Hui}, booktitle={Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence}, pages={1186--1193}, year={2020} } This code is based on Python3 (>= 3.6). There are a few dependencies to run the code. The major libraries are listed as follows:
- Pytorch (0.4.1)
- dgl (0.4.1)