https://github.com/deephyper/nas-gcn
Neural Architecture Search for Graph-Convolution Neural Networks using DeepHyper.
https://github.com/deephyper/nas-gcn
Last synced: 3 months ago
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Neural Architecture Search for Graph-Convolution Neural Networks using DeepHyper.
- Host: GitHub
- URL: https://github.com/deephyper/nas-gcn
- Owner: deephyper
- License: bsd-2-clause
- Created: 2020-08-18T12:15:20.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-08-04T09:33:40.000Z (over 4 years ago)
- Last Synced: 2024-12-29T05:12:04.257Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 872 KB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# nas-gcn
Neural Architecture Search for Graph Message Passing Neural Network using DeepHyper.
## Testing on LCRC Bebop
Regularized evolution for QM9 dataset
```bash
srun -n 30 python -m tuster.system.bebop.run 'python -m deephyper.search.nas.regevo --evaluator ray --redis-address {redis_address} --problem nas_gcn.qm9.problem.Problem'
```