Implementation of the paper [A Data-Driven Spatial-Temporal Graph Neural Network for Docked Bike Prediction].
Thanks for your attention to this work. More details will be released soon.
Requirements
- Python 3.7 (Recommend Anaconda)
- pytorch 1.8.1
- The Chicago and LA datasets are Chicago.zip and la.zip. Please unzip them and put in the folders of '/data/chicago' and '/data/la/'before training and testing the model.
- Run with "python train.py" to train the model and "python test.py" to test the model.
A simple way to extend our approach for multiple slot prediction is replacing the model output