MixTEA

Getting Started

Datasets

We use entity alignment benchmark datasets OpenEA which can be downloaded from OpenEA. You need to put the prepared data into /data folder.

Dependencies

• Python 3
• PyTorch
• networkx==2.5.1
• Scipy
• Numpy
• Pandas
• Scikit-learn
• Faiss

You can automatically download corresponding dependencies by following scripts:

pip install -r .\requirements.txt

Running

Note: The settings of hyper-parameters are given in /args folder.

To run MixTEA, please use the following scripts (ps: --task is an argument):

python run.py --task en_fr_15k
python run.py --task en_de_15k
python run.py --task d_w_15k
python run.py --task d_y_15k

To run 5-fold cross-validation, please use the following script:

python run_fold.py --task en_fr_15k

We also provide jupyter notebook version in MixTEA.ipynb.

If you have any difficulty or question in running code and reproducing experimental results, please email to [email protected].

Acknowledgement

We refer to the codes of these repos: GCN-Align, OpenEA, MuGNN, MeanTeacher. Thanks for their great contributions!