Neural symbolic reasoning with knowledge graphs: Knowledge extraction, relational reasoning, and inconsistency checking
Knowledge graphs (KGs) express relationships between entity pairs, and many real-life problems can be formulated as knowledge graph reasoning (KGR). Conventional approaches to KGR have achieved promising performance but still have some drawbacks. On the one hand, most KGR methods focus only on one p...
Main Authors: | Huajun Chen, Shumin Deng, Wen Zhang, Zezhong Xu, Juan Li, Evgeny Kharlamov |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co. Ltd.
2021-09-01
|
Series: | Fundamental Research |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S266732582100159X |
Similar Items
-
Analysis of Knowledge Graph Path Reasoning Based on Variational Reasoning
by: Hongmei Tang, et al.
Published: (2022-06-01) -
Knowledge graph and knowledge reasoning: A systematic review
by: Ling Tian, et al.
Published: (2022-06-01) -
An Overview of Knowledge Graph Reasoning: Key Technologies and Applications
by: Yonghong Chen, et al.
Published: (2022-11-01) -
Incremental Theory Closure Reasoning for Large Scale Knowledge Graphs
by: Jie Luo, et al.
Published: (2019-01-01) -
Uncovering multi-step attacks with threat knowledge graph reasoning
by: Xiang Xiayu, et al.
Published: (2025-01-01)