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Stanislaw Adaszewski c023d35c46 Introduce FlatPredictions, flatten_predictions(), BatchIndices, gather_batch_indices(). 4 년 전
docs Add icosagon-reltype-rules. 4 년 전
src Introduce FlatPredictions, flatten_predictions(), BatchIndices, gather_batch_indices(). 4 년 전
tests Introduce FlatPredictions, flatten_predictions(), BatchIndices, gather_batch_indices(). 4 년 전
.empty Initial commit. 4 년 전
.gitignore Add icosagon classes diagram. 4 년 전
README.md Update README.md 4 년 전
requirements.txt Start icosagon. 4 년 전

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

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