Skip to content

nari97/WWW2024_Model_Calibration

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 

Repository files navigation

Using Model Calibration to Evaluate Link Prediction in Knowledge Graphs

This repository contains the code for our TheWebConf'24 paper. The models can be found in this link: https://drive.google.com/drive/folders/1k8SeEARwV-hJk9yIDu_2kyjNWO3RjXTY?usp=sharing

To run the code and recreate experiments:

  1. Use this to generate experiments: https://github.com/nari97/AugmentedKGE/blob/master/gen_calib_exp.py
  2. Use this to train calibration functions according to the previous experiments: https://github.com/nari97/AugmentedKGE/blob/master/calib_train.py
  3. Use this to extract the results and get the figures: https://github.com/nari97/AugmentedKGE/blob/master/calib_extract_results.py

To have access to the raw data presented in the paper, please, contact the authors.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •