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Stanislaw Adaszewski 1f977eee4c Fix test names in test_trainprep. 2 weeks ago
docs Add icosagon-reltype-rules. 3 weeks ago
src Change test in test_unigram_03(). 2 weeks ago
tests Fix test names in test_trainprep. 2 weeks ago
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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.


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