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Stanislaw Adaszewski hace 3 años
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      README.md
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      experiments/decagon_run/decagon_run.py

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README.md Ver fichero

@@ -9,9 +9,14 @@ settings.

Decagon-PyTorch is a PyTorch reimplementation of the algorithm.

## Citing

If you use this code in your research please cite this repository as:

Adaszewski S. (2020) https://code.adared.ch/sadaszewski/decagon-pytorch

## References

1. Zitnik, M., Agrawal, M., & Leskovec, J. (2018).
[Modeling polypharmacy side effects with graph convolutional networks](https://academic.oup.com/bioinformatics/article/34/13/i457/5045770)
Bioinformatics, 34(13), i457-i466.


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experiments/decagon_run/decagon_run.py Ver fichero

@@ -109,7 +109,7 @@ def _wrap(obj, method_name):
def main():
dev = torch.device('cuda:0')
dev = torch.device('cpu')
data = load_data(dev)
prep_d = prepare_training(data, TrainValTest(.8, .1, .1))
_wrap(Model, 'build')


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