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
разклонено от sadaszewski/decagon-pytorch
1
0
Разклонения 0
Код Задачи 0 Заявки за сливане 0 Версии 0 Уики Activity
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.
102 Ревизии
1 Клон
866KB
ИН на ревизия: dc8c51a8e6
Клонове Маркери
${ item.name }
Create branch ${ searchTerm }
от 'dc8c51a8e6'
${ noResults }
Stanislaw Adaszewski dc8c51a8e6 Ammend test_decode_layer_05. преди 4 години
docs Add icosagon-reltype-rules. преди 4 години
src Use torch.nn.Parameter(List) in decode. преди 4 години
tests Ammend test_decode_layer_05. преди 4 години
.empty Initial commit. преди 4 години
.gitignore Add icosagon classes diagram. преди 4 години
README.md Update README.md преди 4 години
requirements.txt Start icosagon. преди 4 години

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.