論文解讀：（TranSparse）Knowledge Graph Completion with Adaptive Sparse Transfer Matrix
論文解讀：（TranSparse）Knowledge Graph Completion with Adaptive Sparse Transfer Matrix 先前的基於深度學習的知識表示模型TransE、TransH、TransR（CTransR）和TransD模型均一步步的改進了知識表示的方法，在完善知識圖譜補全工作上逐漸提高效果。通過先前的模型，我們基本掌握了知識表示的學習方法：首先通
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相關文章
- 1. 論文解析：Graph Convolutional Matrix Completion
- 2. 論文淺嘗 | Open world Knowledge Graph Completion
- 3. Transfer Learning for Item Recommendations and Knowledge Graph Completion
- 4. Graph Convolutional Matrix Completion
- 5. 【論文精讀】Knowledge Transfer with Jacobian Matching
- 6. 論文筆記：Graph Convolutional Matrix Completion
- 7. 【論文閱讀】Deep Reasoning with Knowledge Graph for Social Relationship Understanding
- 8. Graph Few-shot learning via Knowledge Transfer
- 9. 論文閱讀筆記《Few-Shot Image Recognition with Knowledge Transfer》
- 10. 論文閱讀筆記《Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy》