Deep Neural Networks for Learning Graph Representations論文筆記
Deep Neural Networks for Learning Graph Representations stack anto-encoder 的相關介紹 網絡性質 屬性、標籤 權重 方向 方法 任務 同質 有 有權 有向 matrix factorization node classification 異質 無 無權 無向 random walk link prediction / / /
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相關文章
- 1. Learning Convolutional Neural Networks for Graphs論文筆記
- 2. [論文筆記]Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
- 3. Neural Networks and Deep Learning-引論
- 4. neural networks and deep learning 筆記（一）
- 5. Machine Learning & Deep Learning 論文閱讀筆記
- 6. 【論文筆記】Graph Matching Networks for Learning the Similarity of Graph Structured Objects
- 7. cousera「Neural NetWorks and Deep learning"讀書筆記
- 8. 論文筆記之Learning Convolutional Neural Networks for Graphs
- 9. Understanding Neural Networks Through Deep Visualization 論文筆記
- 10. [2018][ICLR]FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS 論文筆記