Readme.md
November 13, 2025 ยท View on GitHub
Dependencies
This code is written for Python (3.10.12) and makes use of the following packages:
torch: 1.13.1+cu117 numpy: 1.26.4 pandas: 2.2.2 scipy: 1.12.0 six: 1.16.0 scikit-learn: 1.1.2 rpy2: 3.5.10 jupyter_core: 5.3.1 notebook: 7.0.3 qtconsole: 5.4.4 IPython: 8.5.0 ipykernel: 6.16.0 jupyter_client: 8.3.1 jupyterlab: 4.0.5 nbconvert: 7.8.0 ipywidgets: 8.0.4 nbformat: 5.9.2 traitlets: 5.9.0
Instructions
Our method 'ours.py' is implemented in the package contained within the "chr/" directory. CIR and CIR_rank(also CIR-FA) are the methods in the paper.
This can be loaded and utilized as demonstrated in the tutorial notebook "examples/example_aaai.ipynb".
The main framework of the experiments is based on CHR.