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
sforkowany z sadaszewski/decagon-pytorch
1
0
Forkuj 0
Kod Zgłoszenia 0 Oczekujące zmiany 0 Wydania 0 Wiki Aktywność
Nie możesz wybrać więcej, niż 25 tematów Tematy muszą się zaczynać od litery lub cyfry, mogą zawierać myślniki ('-') i mogą mieć do 35 znaków.
212 Commity
1 Gałąź
866KB
Drzewo: 2ff358f7ef
Gałęzie Tagi
${ item.name }
Utwórz gałąź ${ searchTerm }
z '2ff358f7ef'
${ noResults }
Stanislaw Adaszewski 2ff358f7ef Protect against endless loop. 4 lat temu
docker Start working on experiments/decagon_run. 4 lat temu
docs Add Batcher. 4 lat temu
experiments Add first triacontagon experiment. 4 lat temu
src Protect against endless loop. 4 lat temu
tests Debug negative sampling. 4 lat temu
.empty Initial commit. 4 lat temu
.gitignore Add test_timing_05(). 4 lat temu
README.md Add Citing note. 4 lat temu
requirements.txt Start icosagon. 4 lat temu

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.