论文学习2-Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforce

时间 2021-01-06

标签知识图谱知识计算繁體版

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文章目录摘要介绍相关工作方法 Mean Selection Rate (MSR) and Mean Replacement Rate (MRR Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning 摘要知识图(KG)推理的目的是

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1. 论文笔记:OpenDialKG:Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graph
2. Variational Knowledge Graph Reasoning
3. 【论文阅读】Deep Reasoning with Knowledge Graph for Social Relationship Understanding
4. EMNLP2019 | Knowledge-Aware Graph Networks
5. 论文学习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 论文
9. 【论文翻译】KGAT: Knowledge Graph Attention Network for Recommendation
10. 20200427 Knowledge Graph Attention Network for Recommendation
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1. 论文笔记:OpenDialKG:Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graph
2. Variational Knowledge Graph Reasoning
3. 【论文阅读】Deep Reasoning with Knowledge Graph for Social Relationship Understanding
4. EMNLP2019 | Knowledge-Aware Graph Networks
5. 论文学习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 论文
9. 【论文翻译】KGAT: Knowledge Graph Attention Network for Recommendation
10. 20200427 Knowledge Graph Attention Network for Recommendation

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