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Stanislaw Adaszewski 6f80b65a46 New implementation for one node type normalization seems to work.		4年前
docs	Work on icosagon.trainprep.	4年前
src	New implementation for one node type normalization seems to work.	4年前
tests	New implementation for one node type normalization seems to work.	4年前
.empty	Initial commit.	4年前
.gitignore	Started implementing convolutions, with tests.	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.