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
bifurqué depuis sadaszewski/decagon-pytorch
1
0
Bifurcation 0
Code Tickets 0 Demandes d'ajout 0 Versions 0 Wiki Activité
Vous ne pouvez pas sélectionner plus de 25 sujets Les noms de sujets doivent commencer par une lettre ou un nombre, peuvent contenir des tirets ('-') et peuvent comporter jusqu'à 35 caractères.
192 Révisions
1 Branche
866KB
Aborescence: bf39e7d71f
Branches Tags
${ item.name }
Créer la branche ${ searchTerm }
de 'bf39e7d71f'
${ noResults }
Stanislaw Adaszewski bf39e7d71f Small fix. il y a 4 ans
docker Start working on experiments/decagon_run. il y a 4 ans
docs Work on required vertices per layer. il y a 4 ans
experiments Add Citing note. il y a 4 ans
src Add cumcount(). il y a 4 ans
tests Small fix. il y a 4 ans
.empty Initial commit. il y a 4 ans
.gitignore Add test_timing_05(). il y a 4 ans
README.md Add Citing note. il y a 4 ans
requirements.txt Start icosagon. il y a 4 ans

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.

Citing

If you use this code in your research please cite this repository as:

Adaszewski S. (2020) https://code.adared.ch/sadaszewski/decagon-pytorch

References

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