DualRep: Knowledge Graph Completion by Utilizing Dual Representation of Relational Paths and Tail Node Density Insights

DualRep: Knowledge Graph Completion by Utilizing Dual Representation of Relational Paths and Tail Node Density Insights

Knowledge graphs (KGs) possess a vital role in enhancing the semantic comprehension of extensive datasets across many fields. It facilitate activities like recommendation systems, semantic searching, and intelligent data mining. However, lacking information can sometimes limit the usefulness of know...

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Bibliographic Details
Main Authors: Haji Gul, Feras Al-Obeidat, Adnan Amin, Muhammad Wasim, Fernando Moreira
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Knowledge graph completion
relational paths
node density analysis
graph structural features
entity relationship prediction
graph neural networks
Online Access:https://ieeexplore.ieee.org/document/10756593/
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