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%!s(int64=5) %!d(string=hai) anos | |
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| .idea | %!s(int64=5) %!d(string=hai) anos | |
| data | %!s(int64=5) %!d(string=hai) anos | |
| data1 | %!s(int64=5) %!d(string=hai) anos | |
| .gitignore | %!s(int64=5) %!d(string=hai) anos | |
| GCN-Align-master.zip | %!s(int64=5) %!d(string=hai) anos | |
| LoadBestModel.py | %!s(int64=5) %!d(string=hai) anos | |
| README.md | %!s(int64=5) %!d(string=hai) anos | |
| __init__.py | %!s(int64=5) %!d(string=hai) anos | |
| getData.py | %!s(int64=5) %!d(string=hai) anos | |
| inits.py | %!s(int64=5) %!d(string=hai) anos | |
| layers.py | %!s(int64=5) %!d(string=hai) anos | |
| metrics.py | %!s(int64=5) %!d(string=hai) anos | |
| models.py | %!s(int64=5) %!d(string=hai) anos | |
| train.py | %!s(int64=5) %!d(string=hai) anos | |
| utils.py | %!s(int64=5) %!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.