|
|
il y a 5 ans | |
|---|---|---|
| .idea | il y a 5 ans | |
| data | il y a 5 ans | |
| data1 | il y a 5 ans | |
| .gitignore | il y a 5 ans | |
| GCN-Align-master.zip | il y a 5 ans | |
| LoadBestModel.py | il y a 5 ans | |
| README.md | il y a 5 ans | |
| __init__.py | il y a 5 ans | |
| getData.py | il y a 5 ans | |
| inits.py | il y a 5 ans | |
| layers.py | il y a 5 ans | |
| metrics.py | il y a 5 ans | |
| models.py | il y a 5 ans | |
| train.py | il y a 5 ans | |
| utils.py | il y a 5 ans |
Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.
A better implementation can be seen at HIN-Align.
Initial datasets are from JAPE.
python train.py --lang zh_en
Please politely cite our work as follows:
Zhichun Wang, Qingsong Lv, Xiaohan Lan, Yu Zhang. Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks. In: EMNLP 2018.