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 093d378c6a Fix test_decode_layer_02.		4年前
docs	Add icosagon-reltype-rules.	4年前
src	Use torch.nn.Parameter(List) in decode.	4年前
tests	Fix test_decode_layer_02.	4年前
.empty	Initial commit.	4年前
.gitignore	Add icosagon classes diagram.	4年前
README.md	Update README.md	4年前
requirements.txt	Start icosagon.	4年前

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.