Menu

Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction

Published on 2024-05-28117 Views
video thumbnail
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Knowledge graph embedding models (KGEMs) are used for various tasks related to knowledge graphs (KGs), including link prediction. They are trained with loss functions that consider batches of true and

RELATED CATEGORIES

MORE VIDEOS FROM THE EVENT

MORE VIDEOS FROM THE SAME CATEGORIES

Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International license.