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!
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.
Stanislaw Adaszewski 8aafb6fa01 Clean up _equal(). преди 4 години
docker Start working on experiments/decagon_run. преди 4 години
docs Add icosagon-reltype-rules. преди 4 години
experiments/decagon_run Start working on experiments/decagon_run. преди 4 години
src Clean up _equal(). преди 4 години
tests Make _equal() much faster. 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.