https://github.com/kimmeen/gcn
A PyTorch implementation of the (GCN) paper https://arxiv.org/abs/1609.02907
https://github.com/kimmeen/gcn
Last synced: 2 months ago
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A PyTorch implementation of the (GCN) paper https://arxiv.org/abs/1609.02907
- Host: GitHub
- URL: https://github.com/kimmeen/gcn
- Owner: KimMeen
- License: apache-2.0
- Created: 2020-07-12T03:15:22.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-07-13T11:27:17.000Z (almost 5 years ago)
- Last Synced: 2025-01-06T10:13:17.235Z (4 months ago)
- Language: Python
- Size: 13.7 KB
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Graph Convolutional Networks (GCN)
A PyTorch implementation of the paper https://arxiv.org/abs/1609.02907
### Codes
The folder contains a GCN implementation based on DGL.
Three training scripts are available to run on Cora, Citeseer, and Pubmed.
### Results
Run with following:
~~~bash
python train_cora.py
~~~
```
* Cora: ~0.823 (paper: 0.815)
* Citeseer: ~0.705 (paper: 0.703)
* Pubmed: ~0.800 (paper: 0.790)
```