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Stanislaw Adaszewski 6b353878e1 test_normalize преди 4 години
src/decagon_pytorch test_normalize преди 4 години
tests/decagon_pytorch Add simple class to hold graph data. преди 4 години
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.gitignore Started implementing convolutions, with tests. преди 4 години
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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.