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.
30 Commity
1 Gałąź
866KB
Drzewo: 2cdc76fac7
Gałęzie Tagi
${ item.name }
Utwórz gałąź ${ searchTerm }
z '2cdc76fac7'
${ noResults }
Stanislaw Adaszewski 2cdc76fac7 Prepare to make Decagon layer work. 4 lat temu
docs Add a diagram. 4 lat temu
src/decagon_pytorch Prepare to make Decagon layer work. 4 lat temu
tests/decagon_pytorch Prepare to make Decagon layer work. 4 lat temu
.empty Initial commit. 4 lat temu
.gitignore Started implementing convolutions, with tests. 4 lat temu
README.md Update README.md 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.

References

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