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Neural Probabilistic Logic Learning: A Method for Knowledge Graph Reasoning
DOI:10.1016/j.knosys.2026.115513.png)
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
IF:
7.6
Papers:
1.2W
Citations:
4.5W

