Measuring the Inferential Values of Relations in Knowledge Graphs
Knowledge graphs, as an important research direction in artificial intelligence, have been widely applied in many fields and tasks. The relations in knowledge graphs have explicit semantics and play a crucial role in knowledge completion and reasoning. Correctly measuring the inferential value of re...
Saved in:
Main Authors: | Xu Zhang, Xiaojun Kang, Hong Yao, Lijun Dong |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/18/1/6 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Few-Shot Graph Anomaly Detection via Dual-Level Knowledge Distillation
by: Xuan Li, et al.
Published: (2025-01-01) -
Development of Higher Order Thinking Skills (HOTS) Based Inferential Reading Module
by: Uyun Nafiah, et al.
Published: (2025-01-01) -
Graph-Based Data Analysis for Building Chemistry–Phase Design Rules for High Entropy Alloys
by: Scott R. Broderick, et al.
Published: (2024-12-01) -
Black Holes Have More States than Those Defined by the Bekenstein–Hawking Entropy: A Simple Argument
by: Carlo Rovelli
Published: (2024-12-01) -
PHILOSOPHY OF EDUCATION IN THE DIGITAL AGE: TRANSFORMATION OF KNOWLEDGE AND LEARNING
by: Марина ШУЛЬГА, et al.
Published: (2024-12-01)