UNDETERMINED

the results are run on a server with CPU 2.8 GHz Intel Core i7, 16GB RAM.

Contents

1. Introduction
2. Train
3. Test
4. Results
5. Citation
6. Acknowledgements

Usage

Please see code comments for more details

Quick start: Train

1. Download processed dataset from Google Driver , place it in '/Dataset/Packaged Pkl/'.

   Note: You can also process the java-json dataset yourself.

2. Cd to '/Code', run the following script.

    python train.py

Build PKL yourself, you can customize the extra edges

1. Ensure there is a result file generated.

2. Cd to '/Code', run the following script.

    python code_dataset.py

Detail Package Version

    numpy==1.21.6
    pandas==1.3.5
    scikit_learn==1.1.1
    torch==1.11.0
    torch_geometric==2.0.4
    tqdm==4.64.0
    transformers==4.18.0