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: 14 days 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 (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-08-13T15:36:50.000Z (over 5 years ago)
• Last Synced: 2024-08-02T08:10:12.725Z (4 months ago)
• Topics: entity-alignment, knowledge-graph-embeddings
• Language: Python
• Homepage:
• Size: 11.1 MB
• Stars: 128
• Watchers: 5
• Forks: 27
• Open Issues: 6
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-gcn - 1049451037/GCN-Align - lingual Knowledge Graph Alignment via Graph Convolutional Networks. (Knowledge Graph:)

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.*