arrow
Return

Neural Probabilistic Logic Learning: A Method for Knowledge Graph Reasoning

delete2026-02-09
delete0
PRE
AI
F
Fengsong Sun
张先超 (Xianchao Zhang)
王金玉 (Jinyu Wang)
蒋治国 (Zhiguo Jiang)
DOI:10.1016/j.knosys.2026.115513delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• NPLL achieves efficient reasoning with high accuracy on fewer data inputs in knowledge graph reasoning • NPLL excels in handling large-scale knowledge graphs with millions of facts. • NPLL uses logical rule knowledge for robust performance on sparse data. • NPLL performs zero-shot reasoning across non-overlapping relationships.
Keywords:
NPLL
knowledge graph reasoning
logical rule knowledge
zero-shot reasoning
sparse data

Journal

K
Knowledge-Based Systems
IF:
7.6
Papers:
1.2W
Citations:
4.5W

Organization

B
Beijing University of Posts and Telecommunications
Scholars:
2.6K
Papers: 1.2K
Citations: 4.2K
J
Jiaxing University
Scholars:
4.5K
Papers: 3.5K
Citations: 6.0K