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%!s(int64=4) %!d(string=hai) anos | |
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.idea | %!s(int64=4) %!d(string=hai) anos | |
data | %!s(int64=4) %!d(string=hai) anos | |
data1 | %!s(int64=4) %!d(string=hai) anos | |
.gitignore | %!s(int64=4) %!d(string=hai) anos | |
GCN-Align-master.zip | %!s(int64=4) %!d(string=hai) anos | |
LoadBestModel.py | %!s(int64=4) %!d(string=hai) anos | |
README.md | %!s(int64=4) %!d(string=hai) anos | |
__init__.py | %!s(int64=4) %!d(string=hai) anos | |
getData.py | %!s(int64=4) %!d(string=hai) anos | |
inits.py | %!s(int64=4) %!d(string=hai) anos | |
layers.py | %!s(int64=4) %!d(string=hai) anos | |
metrics.py | %!s(int64=4) %!d(string=hai) anos | |
models.py | %!s(int64=4) %!d(string=hai) anos | |
train.py | %!s(int64=4) %!d(string=hai) anos | |
utils.py | %!s(int64=4) %!d(string=hai) anos |
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.