Jiasheng
567991c407
公司融合代码更新
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| .idea | 4 gadi atpakaļ | |
| data | 4 gadi atpakaļ | |
| data1 | 4 gadi atpakaļ | |
| .gitignore | 4 gadi atpakaļ | |
| GCN-Align-master.zip | 4 gadi atpakaļ | |
| LoadBestModel.py | 4 gadi atpakaļ | |
| README.md | 4 gadi atpakaļ | |
| __init__.py | 4 gadi atpakaļ | |
| getData.py | 4 gadi atpakaļ | |
| inits.py | 4 gadi atpakaļ | |
| layers.py | 4 gadi atpakaļ | |
| metrics.py | 4 gadi atpakaļ | |
| models.py | 4 gadi atpakaļ | |
| train.py | 4 gadi atpakaļ | |
| utils.py | 4 gadi atpakaļ |
README.md
GCN-Align
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.
Environment
- python>=3.5
- tensorflow>=1.10.1
- scipy>=1.1.0
- networkx>=2.2
Running
python train.py --lang zh_en
Citation
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.