This repository holds the code for the paper
A Causal Counterfactual Graph Neural Network for Arising-from-Chair Abnormality Detection in Parkinsonians
All the materials released in this library can ONLY be used for RESEARCH purposes and not for commercial use.
The authors' institution (Biomedical Image and Health Informatics Lab, School of Biomedical Engineering, Shanghai Jiao Tong University) preserve the copyright and all legal rights of these codes.
Xinlu Tang, Rui Guo, Chencheng Zhang, Xiaohua Qian *
Our code is based on Python3.9 There are a few dependencies to run the code. The major libraries we depend are
- PyTorch1.10.0 (http://pytorch.org/)
- numpy
conda install --yes --file requirements.txt
Attention: Please run this project on linux. In different pytorch environment, the model may obtain different results.
run the main.py by this command:
python main.py --config ./train_causal.yamlThe results will be saved in ./result folder.
For any question, feel free to contact
Xinlu Tang : tangxl20@sjtu.edu.cn