論文學習2-Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforce
文章目錄 摘要 介紹 相關工作 方法 Mean Selection Rate (MSR) and Mean Replacement Rate (MRR Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning 摘要 知識圖(KG)推理的目的是
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相關文章
- 1. 論文筆記:OpenDialKG:Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graph
- 2. Variational Knowledge Graph Reasoning
- 3. 【論文閱讀】Deep Reasoning with Knowledge Graph for Social Relationship Understanding
- 4. EMNLP2019 | Knowledge-Aware Graph Networks
- 5. 論文學習1-DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
- 6. Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
- 7. 【PaperReading】Knowledge Graph Embedding Based Question Answering
- 8. RKGE Recurrent Knowledge Graph Embedding for Effective Recommendation 論文
- 9. 【論文翻譯】KGAT: Knowledge Graph Attention Network for Recommendation
- 10. 20200427 Knowledge Graph Attention Network for Recommendation