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!
Sfoglia il codice sorgente

Add README.md

pull/1/head
Stanislaw Adaszewski 4 anni fa
parent
commit
3f7b19848e
1 ha cambiato i file con 17 aggiunte e 0 eliminazioni
  1. +17
    -0
      README.md

+ 17
- 0
README.md Vedi File

@@ -0,0 +1,17 @@
= decagon-pytorch

== Introduction

[Decagon](https://github.com/mims-harvard/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](https://academic.oup.com/bioinformatics/article/34/13/i457/5045770)
Bioinformatics, 34(13), i457-i466.


Loading…
Annulla
Salva