论文浅尝 | Complex Embeddings for Simple Link Prediction
读完Knowledge Graph Embedding with Iterative Guidance from Soft Rules的大致思想后，好奇为什么要用复数来表示一个向量，就想看另一篇论文： Complex Embeddings for Simple Link Prediction 然后发现，有个博客很好的说了这个事，我就转过来以后学习 博客：论文浅尝 | Complex Embeddi
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- 1. 论文浅尝 | Complex Embeddings for Simple Link Prediction
- 2. Complex Embeddings for Simple Link Prediction
- 3. 论文浅尝 | Interaction Embeddings for Prediction and Explanation
- 4. 论文笔记：AAAI 2020 Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
- 5. A Survey of Link Prediction in Complex Networks论文阅读
- 6. 论文笔记：ACL 2019 Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
- 7. 论文解析：NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
- 8. 论文阅读 A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SEN- TENCE EMBEDDINGS
- 9. [NLP论文阅读]A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDINGS
- 10. 论文阅读：《a simple but tough-to-beat baseline for sentence embeddings》