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!
Você não pode selecionar mais de 25 tópicos Os tópicos devem começar com uma letra ou um número, podem incluir traços ('-') e podem ter até 35 caracteres.
Stanislaw Adaszewski d4dd1f2923 Add input to icosagon. 4 anos atrás
docs Work on icosagon.trainprep. 4 anos atrás
src Add input to icosagon. 4 anos atrás
tests Add input to icosagon. 4 anos atrás
.empty Initial commit. 4 anos atrás
.gitignore Started implementing convolutions, with tests. 4 anos atrás
README.md Update README.md 4 anos atrás
requirements.txt Start icosagon. 4 anos atrás

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.