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Stanislaw Adaszewski 4 years ago
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= decagon-pytorch
# decagon-pytorch


== Introduction
## Introduction


[Decagon](https://github.com/mims-harvard/decagon) [Decagon](https://github.com/mims-harvard/decagon)
is a method for learning node embeddings in multimodal graphs, is a method for learning node embeddings in multimodal graphs,
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Decagon-PyTorch is a PyTorch reimplementation of the algorithm. Decagon-PyTorch is a PyTorch reimplementation of the algorithm.


== References
## References


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


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