Explainable Reasoning over Knowledge Graphs for Recommendation

时间 2020-12-30

标签知识图谱用于推荐算法 python 深度学习人工智能栏目 Python 繁體版

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Explainable Reasoning over Knowledge Graphs for Recommendation 摘要将知识图谱引入推荐中存在的问题未充分探索用于推断用户偏好的这种连接性对路径内的顺序性和整体语义建模方面存在不足提出解决问题的模型 KPRN（知识感知路径递归网络），利用知识图谱做推荐 KPRN的核心 KPRN利用路径中的顺序依赖关系，我们可以在路径上进行有效推理

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1. Explainable Reasoning over Knowledge Graphs for Recommendation
2. 【EMNLP2019】Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs
3. 论文Reinforcement Knowledge Graph Reasoning for Explainable Recommendation笔记
4. KPRN - Explainable Reasoning over Knowledge Graphs for Recommendation 知识图谱上的可解释推理用于推荐
5. Learning over Knowledge-Base Embeddings for Recommendation 论文
6. Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
7. # Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Netwo
8. Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
9. Knowledge Graph Attention Network for Recommendation
10. Recurrent Knowledge Graph Embedding for Eﬀective Recommendation
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1. Explainable Reasoning over Knowledge Graphs for Recommendation
2. 【EMNLP2019】Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs
3. 论文Reinforcement Knowledge Graph Reasoning for Explainable Recommendation笔记
4. KPRN - Explainable Reasoning over Knowledge Graphs for Recommendation 知识图谱上的可解释推理用于推荐
5. Learning over Knowledge-Base Embeddings for Recommendation 论文
6. Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
7. # Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Netwo
8. Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
9. Knowledge Graph Attention Network for Recommendation
10. Recurrent Knowledge Graph Embedding for Eﬀective Recommendation

>>更多相关文章<<