|
il y a 4 ans | |
---|---|---|
.idea | il y a 4 ans | |
data | il y a 4 ans | |
data1 | il y a 4 ans | |
.gitignore | il y a 4 ans | |
GCN-Align-master.zip | il y a 4 ans | |
LoadBestModel.py | il y a 4 ans | |
README.md | il y a 4 ans | |
__init__.py | il y a 4 ans | |
getData.py | il y a 4 ans | |
inits.py | il y a 4 ans | |
layers.py | il y a 4 ans | |
metrics.py | il y a 4 ans | |
models.py | il y a 4 ans | |
train.py | il y a 4 ans | |
utils.py | il y a 4 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.