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Stanislaw Adaszewski 1d2fac0919 Split layer into submodules. il y a 4 ans
docs Better way to compute DecagonLayer. il y a 4 ans
src/decagon_pytorch Split layer into submodules. il y a 4 ans
tests/decagon_pytorch Add test_decagon_layer_05(). il y a 4 ans
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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.