Skip to content

EJHyun/THOR

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

THOR

ICDM 2022: THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks

Way to preprocess dataset

  1. cd data
  2. python data.py
  3. python construct_graph.py

Just for training ICEWS14 right away

  1. python train.py

Test model trained with ICEWS14

  1. check best epoch via printed output
  2. python test.py

Thank you

Cite

We encourage you to cite our paper if you have used the code in your work. You can use the following BibTex citation:

@inproceedings{--,
  author   = {Yeon{-}Chang Lee and JaeHyun Lee and Dongwon Lee and Sang{-}Wook Kim},
  title     = {THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks},
  booktitle = {--},      
  year      = {2022}
}

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages