You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Stanislaw Adaszewski
a6de8c7846
|
4 年之前 | |
|---|---|---|
| docs | 4 年之前 | |
| src | 4 年之前 | |
| tests | 4 年之前 | |
| .empty | 4 年之前 | |
| .gitignore | 4 年之前 | |
| README.md | 4 年之前 | |
| requirements.txt | 4 年之前 | |
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
- Zitnik, M., Agrawal, M., & Leskovec, J. (2018). Modeling polypharmacy side effects with graph convolutional networks Bioinformatics, 34(13), i457-i466.