# Initialize the environment
conda create -n wavegc python=3.10.13
conda activate wavegc

# Install packages about pytorch and pyg
conda install pytorch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 pytorch-cuda=12.4 -c pytorch -c nvidia
pip install torch_geometric==2.6.1
pip install torch_scatter torch_sparse torch_cluster torch_spline_conv -f https://data.pyg.org/whl/torch-2.5.1+cu124
pip install pytorch-lightning yacs torchmetrics
pip install performer-pytorch

# Install other packages
conda install openbabel fsspec rdkit -c conda-forge
pip install ogb==1.3.6
pip install wandb
pip install networkx==3.2.1
pip install einops==0.7.0
pip install tqdm
pip install pandas==2.2.3
pip install tensorboardX
pip install gdown

CUDA_VISIBLE_DEVICES=0 python main.py --cfg configs/{data}.yaml --repeat 4

CUDA_VISIBLE_DEVICES=0 python main.py --cfg configs/{data}.yaml --repeat 10

@inproceedings{
liu2025a,
title={A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition},
author={Nian Liu and Xiaoxin He and Thomas Laurent and Francesco Di Giovanni and Michael M. Bronstein and Xavier Bresson},
booktitle={Forty-second International Conference on Machine Learning},
year={2025},
url={https://openreview.net/forum?id=UTvdB2WPSp}
}