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選択できるのは25トピックまでです。 トピックは、先頭が英数字で、英数字とダッシュ('-')を使用した35文字以内のものにしてください。
Stanislaw Adaszewski 5cf1e3d1b5 torch_stablesort CUDA version works and is fast. 6ヶ月前
docker Start working on experiments/decagon_run. 7ヶ月前
docs Add Batcher. 6ヶ月前
experiments Add first triacontagon experiment. 6ヶ月前
src torch_stablesort CUDA version works and is fast. 6ヶ月前
tests Mini fix. 6ヶ月前
.empty Initial commit. 9ヶ月前
.gitignore torch_stablesort_cpp seems to work. 6ヶ月前
README.md Add Citing note. 7ヶ月前
requirements.txt Start icosagon. 8ヶ月前




Decagon is a method for learning node embeddings in multimodal graphs, and is especially useful for link prediction in highly multi-relational settings.

Decagon-PyTorch is a PyTorch reimplementation of the algorithm.


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

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


  1. Zitnik, M., Agrawal, M., & Leskovec, J. (2018). Modeling polypharmacy side effects with graph convolutional networks Bioinformatics, 34(13), i457-i466.