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Nevar pievienot vairāk kā 25 tēmas Tēmai ir jāsākas ar burtu vai ciparu, tā var saturēt domu zīmes ('-') un var būt līdz 35 simboliem gara.
Stanislaw Adaszewski 5cf1e3d1b5 torch_stablesort CUDA version works and is fast. pirms 1 gada
docker Start working on experiments/decagon_run. pirms 1 gada
docs Add Batcher. pirms 1 gada
experiments Add first triacontagon experiment. pirms 1 gada
src torch_stablesort CUDA version works and is fast. pirms 1 gada
tests Mini fix. pirms 1 gada
.empty Initial commit. pirms 1 gada
.gitignore torch_stablesort_cpp seems to work. pirms 1 gada
README.md Add Citing note. pirms 1 gada
requirements.txt Start icosagon. pirms 1 gada




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.