论文解读：（TranSparse）Knowledge Graph Completion with Adaptive Sparse Transfer Matrix
论文解读：（TranSparse）Knowledge Graph Completion with Adaptive Sparse Transfer Matrix 先前的基于深度学习的知识表示模型TransE、TransH、TransR（CTransR）和TransD模型均一步步的改进了知识表示的方法，在完善知识图谱补全工作上逐渐提高效果。通过先前的模型，我们基本掌握了知识表示的学习方法：首先通
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相关文章
- 1. 论文解析：Graph Convolutional Matrix Completion
- 2. 论文浅尝 | Open world Knowledge Graph Completion
- 3. Transfer Learning for Item Recommendations and Knowledge Graph Completion
- 4. Graph Convolutional Matrix Completion
- 5. 【论文精读】Knowledge Transfer with Jacobian Matching
- 6. 论文笔记：Graph Convolutional Matrix Completion
- 7. 【论文阅读】Deep Reasoning with Knowledge Graph for Social Relationship Understanding
- 8. Graph Few-shot learning via Knowledge Transfer
- 9. 论文阅读笔记《Few-Shot Image Recognition with Knowledge Transfer》
- 10. 论文阅读笔记《Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy》