IF YOU WOULD LIKE TO GET AN ACCOUNT, please write an email to s dot adaszewski at gmail dot com. User accounts are meant only to report issues and/or generate pull requests. This is a purpose-specific Git hosting for ADARED projects. Thank you for your understanding!
sadaszewski1
/
decagon-pytorch
geforked van sadaszewski/decagon-pytorch
1
0
Vork 0
Code Kwesties 0 Pull-aanvragen 0 Publicaties 0 Wiki Activiteit
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.
17 Commits
1 Branch
866KB
Tree: e26ccd4222
Branches Labels
${ item.name }
Maak branch ${ searchTerm }
van 'e26ccd4222'
${ noResults }
Stanislaw Adaszewski e26ccd4222 Added InnerProductDecoder and test. 4 jaren geleden
src/decagon_pytorch Added InnerProductDecoder and test. 4 jaren geleden
tests/decagon_pytorch Added InnerProductDecoder and test. 4 jaren geleden
.empty Initial commit. 4 jaren geleden
.gitignore Started implementing convolutions, with tests. 4 jaren geleden
README.md Update README.md 4 jaren geleden

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

  1. Zitnik, M., Agrawal, M., & Leskovec, J. (2018). Modeling polypharmacy side effects with graph convolutional networks Bioinformatics, 34(13), i457-i466.