论文Reinforcement Knowledge Graph Reasoning for Explainable Recommendation笔记
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation abstract 与大多数现有的方法不同，这篇文章致力于实现明确的可解释推荐，在知识图谱中得到明确的理由从而进行推荐。 提出了一个 Policy-Guided Path Reasoning(PGPR)方法 提出了四个主要贡献，在introduction又详细
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相关文章
- 1. Explainable Reasoning over Knowledge Graphs for Recommendation
- 2. DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
- 3. 论文学习1-DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
- 4. RKGE Recurrent Knowledge Graph Embedding for Effective Recommendation 论文
- 5. Recurrent Knowledge Graph Embedding for Effective Recommendation
- 6. 20200427 Knowledge Graph Attention Network for Recommendation
- 7. Variational Knowledge Graph Reasoning
- 8. Knowledge Graph Attention Network for Recommendation
- 9. Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
- 10. Side Information-KGAT: Knowledge Graph Attention Network for Recommendation阅读笔记