Multi-Hop Reasoning of Temporal Knowledge Graph Based on Reinforcement Learning
Author:
Affiliation:
1. School of Artificial Intelligence, Hebei University of Technology,Tianjin,China
2. Shandong Inspur Database Technology Co., Ltd,Jinan,China
3. Hebei Education of Examinations Authority,Hebei,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10294323/10294356/10294552.pdf?arnumber=10294552
Reference32 articles.
1. DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
2. Graph attention networks[J];veli?kovi?;ArXiv Preprint,2017
3. Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning[C];das;International Conference on Learning Representations,0
4. Go for a walk and arrive at the answer: Reasoning over paths in knowledge bases using reinforcement learning[J];das;ArXiv Preprint,2017
5. Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
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