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.
148 Révisions
1 Branche
866KB
Aborescence: a5b8701a0d
Branches Tags
${ item.name }
Créer la branche ${ searchTerm }
de 'a5b8701a0d'
${ noResults }
Stanislaw Adaszewski a5b8701a0d Add some debug output for profiling, the bottleneck is in DecodeLayer but also comes generally from computing always all nodes. il y a 4 ans
docker Start working on experiments/decagon_run. il y a 4 ans
docs Add icosagon-reltype-rules. il y a 4 ans
experiments/decagon_run Shuffle. il y a 4 ans
src Add some debug output for profiling, the bottleneck is in DecodeLayer but also comes generally from computing always all nodes. il y a 4 ans
tests Add some debug output for profiling, the bottleneck is in DecodeLayer but also comes generally from computing always all nodes. il y a 4 ans
.empty Initial commit. il y a 4 ans
.gitignore Add icosagon classes diagram. il y a 4 ans
README.md Update README.md 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.

References

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