The implementation of our ICDM 2019 paper "Guiding Entity Alignment via Adversarial Knowledge Embedding" AKE.
python 3.5.3
torch == 0.3.1
numpy == 1.15
scipy == 1.1.0
scikit-learn == 0.20.0
tar -zxvf data.tar.gz data
The data folder includes our propocessed data JA-EN for training and testing.
The orginal datasets can be founded from here.
zsh train.sh/train_variants.sh # training AKE and variants with default hyper-parameters
python test.py
If you find the code is useful for your research, please cite this paper:
@inproceedings{lin2019:AKE,
author={Lin, Xixun and Yang, Hong and Wu, Jia and Zhou, Chuan and Wang, Bin},
title={Guiding Entity Alignment via Adversarial Knowledge Embedding},
booktitle={IEEE International Conference On Data Mining (ICDM)},
year={2019}
}