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.
92 Révisions
1 Branche
866KB
Aborescence: 8767db601d
Branches Tags
${ item.name }
Créer la branche ${ searchTerm }
de '8767db601d'
${ noResults }
Stanislaw Adaszewski 8767db601d Remove node_type_row/node_type_column as redundant in add_relation_type(). il y a 4 ans
docs Add icosagon-hierarchy.svg. il y a 4 ans
src Remove node_type_row/node_type_column as redundant in add_relation_type(). il y a 4 ans
tests Remove node_type_row/node_type_column as redundant in add_relation_type(). 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.