一、 Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach 摘要： 知識庫補全目的是預測知識庫中缺少的信息，在本文中，作者提出用於解決知識庫之外的實體問題：如何回答在訓練時未觀測到的信息；現存的基於嵌入的知識庫補全不能解決知識庫之外的信息，解決這個問題的方法是再訓練，但是此方法缺少靈活
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- 1. 20200427 Knowledge Graph Attention Network for Recommendation
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相關文章
- 1. 20200427 Knowledge Graph Attention Network for Recommendation
- 2. Distilling the Knowledge in a Neural Network
- 3. Knowledge Graph Attention Network for Recommendation
- 4. AdamTechLouis's talk:Building a Knowledge-Graph.
- 5. Cross-lingual Knowledge Graph Alignment viaGraph Matching Neural Network
- 6. Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
- 7. Transfer Learning for Item Recommendations and Knowledge Graph Completion
- 8. 2018_WWW_DKN- Deep Knowledge-Aware Network for News Recommendation
- 9. Learning about Graph Network
- 10. A Deep Neural Network Approach To Speech Bandwidth Expansion