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sadaszewski 40b572ba2a Merge pull request 'master' (#2) from sadaszewski1/decagon-pytorch:master into master 9 months ago
decagon_pytorch Added dropout_sparse() 9 months ago
.empty Initial commit. 9 months ago
.gitignore Added weight_variable_glorot 9 months ago
README.md Update README.md 9 months ago




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.