Nie możesz wybrać więcej, niż 25 tematów
Tematy muszą się zaczynać od litery lub cyfry, mogą zawierać myślniki ('-') i mogą mieć do 35 znaków.
Stanislaw Adaszewski
6cf3175950
|
4 lat temu | |
|---|---|---|
| docker | 4 lat temu | |
| docs | 4 lat temu | |
| experiments | 4 lat temu | |
| src | 4 lat temu | |
| tests | 4 lat temu | |
| .empty | 4 lat temu | |
| .gitignore | 4 lat temu | |
| README.md | 4 lat temu | |
| requirements.txt | 4 lat temu | |
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.