【論文筆記】Text-Enhanced Representation Learning for Knowledge Graph
中文標題：文本增強的知識圖譜表示學習 發表會議：IJCAI 2016 文章鏈接：Text-Enhanced Representation Learning for Knowledge Graph 源代碼：無 1 Introduction 1.1問題陳述 ： 知識圖譜的表示將每個關係視爲從頭部實體到尾部實體的一個翻譯，包括TransE，TransH和TransR等基於翻譯的方法簡單有效，並且實現了最
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相關文章
- 1. 【論文筆記】Accurate Text-Enhanced Knowledge Graph Representation Learning
- 2. 論文筆記：AAAI 2020 Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
- 3. 論文理解—— Disentangle-based Continual Graph Representation Learning
- 4. 【論文筆記】Representation Learning of Knowledge Graphs with Entity Descriptions
- 5. 論文Reinforcement Knowledge Graph Reasoning for Explainable Recommendation筆記
- 6. RKGE Recurrent Knowledge Graph Embedding for Effective Recommendation 論文
- 7. 論文筆記：Representation Learning of Knowledge Graphs with Entity Descriptions
- 8. 論文解析：NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
- 9. 【論文筆記】Representation Learning by Learning to Count
- 10. 論文筆記: Inductive Representation Learning on Large Graphs