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Stanislaw Adaszewski 0f1afa3d2c Put back layer tests. 4 vuotta sitten
docs Better way to compute DecagonLayer. 4 vuotta sitten
src/decagon_pytorch Ok the very first decoding seems to work end-to-end. 4 vuotta sitten
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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.