The repo is the official implementation for the paper: Dual-token Aware Graph Convolution Network with Interpretability for Long-term Multi-station Irrigation Water Level Forecasting. It currently includes code implementations for the following tasks:
Multivariate Forecasting: We provide the script and dataset to reproduce forecasting results in this repo.
Install Pytorch and other necessary dependencies.
pip install -r requirements.txt
Train and evaluate the model. We provide all the above tasks under the folder ./scripts/. You can reproduce the results as the following examples:
bash ./scripts/water/DTAGCN.sh