Reinforcement Learning Approach for Integrating Compressed Contexts into Knowledge Graphs
Author:
Affiliation:
1. University of California,Davis,CA,USA,95616
2. An independent researcher
3. Vanderbilt University in Nashville,TN,USA,37235
4. Georgia Institue of Technology,GA,USA,30332
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10603448/10603453/10604019.pdf?arnumber=10604019
Reference8 articles.
1. A comprehensive survey of entity alignment for knowledge graphs
2. Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
3. Enhancing multi-hop knowledge graph reasoning through reward shaping techniques;Li;arXiv:2403.05801,2024
4. Multi-hop reasoning over paths in temporal knowledge graphs using reinforcement learning
5. Knowledge Graphs as Enhancers of Intelligent Digital Twins
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