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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.
If you use this code in your research please cite this repository as:
Adaszewski S. (2020) https://code.adared.ch/sadaszewski/decagon-pytorch