https://github.com/1049451037/gcn-align
Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.
https://github.com/1049451037/gcn-align
entity-alignment knowledge-graph-embeddings
Last synced: about 1 year ago
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Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.
- Host: GitHub
- URL: https://github.com/1049451037/gcn-align
- Owner: 1049451037
- Created: 2018-08-30T12:13:17.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-08-13T15:36:50.000Z (over 6 years ago)
- Last Synced: 2025-04-02T01:34:44.988Z (about 1 year ago)
- Topics: entity-alignment, knowledge-graph-embeddings
- Language: Python
- Homepage:
- Size: 11.1 MB
- Stars: 132
- Watchers: 4
- Forks: 27
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
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README
# GCN-Align
Code of the paper: ***Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks***.
**A better implementation can be seen at [HIN-Align](https://github.com/1049451037/HIN-Align).**
Initial datasets are from [JAPE](https://github.com/nju-websoft/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.*