HiSTGNN

This is a Pytorch implementation of the paper: HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting.

Running requirements

The basic dependencies are Python 3 and Torch 1.2.0. The others are specified in requirements.txt.

You can run the following commands to prepare the environment. We recommend the virtual conda environment.

conda create --name [myenv]
source activate [myenv]
pip install -r ./HiSTGNN/requirements.txt

Data

We palace the used data in Google driver, you can download then put them to the following corresponding paths.

1. "./HiSTGNN/data/wfd_BJ"
2. "./HiSTGNN/data/wfd_Israel"
3. "./HiSTGNN/data/wfd_USA"

Model Training

wfd_BJ

bash BJ_train.sh

wfd_Israel

bash ISR_train.sh

wfd_USA

bash USA_train.sh