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
geforkt von sadaszewski/decagon-pytorch
1
0
Fork 0
Code Issues 0 Pull-Requests 0 Releases 0 Wiki Aktivität
Du kannst nicht mehr als 25 Themen auswählen Themen müssen entweder mit einem Buchstaben oder einer Ziffer beginnen. Sie können Bindestriche („-“) enthalten und bis zu 35 Zeichen lang sein.
60 Commits
1 Branch
866KB
Struktur: 456a037e58
Branches Tags
${ item.name }
Erstelle Branch ${ searchTerm }
von „456a037e58“
${ noResults }
decagon-pytorch/README.md

539B
Originalformat Blame Verlauf

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.