Knowledge graph embedding for link prediction and entity classification
Although machine learning has shown promising results and attracted great attentionin the recent years, few methods can be applied to relational, or graphstructured,data. Knowledge Graph Embedding (KGE) is a learning methodology that attemptsto bridge this gap by learning to represent nodes as vect...
Main Author: | |
---|---|
Other Authors: | |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://hdl.handle.net/10889/14686 |