A Tutorial on Network Embeddings
A Tutorial on Network Embeddings paper： https://arxiv.org/abs/1808.02590 NE 的中心思想就是找到一種映射函數，該函數將網絡中的每一個節點轉換爲低維度的潛在表示 典型例子 DeepWalk： 其學習 Zachary’s Karate network 網絡中的拓撲結構信息並轉換成一個二維的潛在表示（latent repre
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相關文章
- 1. A Tutorial on Network Embeddings
- 2. [Tutorial] Using SSH on Linux
- 3. Oracle9i Developer Suite - A Tutorial on Oracle9i Forms and Reports
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- 5. A little tutorial on CodeFluent Entities with ASP.NET MVC4
- 6. 論文翻譯：A Tutorial on Energy-Based Learning
- 7. 論文翻譯：A Tutorial on Thompson Sampling
- 8. 白話論文：A Tutorial on Principal Component Analysis
- 9. Tutorial: Add a node to SQL cluster on RHEL
- 10. Recurrent Neural Network Tutorial, Part 4 – Implementing a GRU/LSTM RNN with Python and Theano