IF YOU WOULD LIKE TO GET AN ACCOUNT, please write an email to s dot adaszewski at gmail dot com. User accounts are meant only to report issues and/or generate pull requests. This is a purpose-specific Git hosting for ADARED projects. Thank you for your understanding!

Stanislaw Adaszewski 82c0b5d586 Update .gitignore		před 4 roky
docker	Start working on experiments/decagon_run.	před 4 roky
docs	Add icosagon-reltype-rules.	před 4 roky
experiments/decagon_run	Shuffle.	před 4 roky
src	Add some debug output for profiling, the bottleneck is in DecodeLayer but also comes generally from computing always all nodes.	před 4 roky
tests	Add some debug output for profiling, the bottleneck is in DecodeLayer but also comes generally from computing always all nodes.	před 4 roky
.empty	Initial commit.	před 4 roky
.gitignore	Update .gitignore	před 4 roky
README.md	Update README.md	před 4 roky
requirements.txt	Start icosagon.	před 4 roky

README.md

decagon-pytorch

Introduction

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.

References

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