decagon - Graph convolutional neural network for multirelational link prediction

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This repository contains code necessary to run the Decagon algorithm. Decagon is a method for learning node embeddings in multimodal graphs, and is especially useful for link prediction in highly multi-relational settings. See our paper for details on the algorithm. Decagon is used to address a burning question in pharmacology, which is that of predicting safety of drug combinations.

http://snap.stanford.edu/decagon
https://github.com/marinkaz/decagon

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