Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding

Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding

Link prediction remains paramount in knowledge graph embedding (KGE), aiming to discern obscured or non-manifest relationships within a given knowledge graph (KG). Despite the critical nature of this endeavor, contemporary methodologies grapple with notable constraints, predominantly in terms of com...

Full description

Bibliographic Details
Main Authors: Qinglang Guo, Yong Liao, Zhe Li, Hui Lin, Shenglin Liang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Entropy
Subjects:
link prediction
knowledge graph embeddings
convolution-based
Online Access:https://www.mdpi.com/1099-4300/25/10/1472

Internet

https://www.mdpi.com/1099-4300/25/10/1472

Similar Items