Hierarchical Attention Based Semi-supervised Network Representation Learning
Hierarchical Attention Based Semi-supervised Network Representation Learning 1. 任務 給定：節點信息網絡 目標：爲每一個節點生成一個低維向量 基於半監督的分層關注網絡嵌入方法 2. 創新點： 以半監督的方式結合外部信息 1. 提出SHANE 模型，集成節點結構，文本和標籤信息，並以半監督的方式學習網絡嵌入 2. 使
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- 1. Hierarchical Attention Based Semi-supervised Network Representation Learning
- 2. Sequential Recommender System based on Hierarchical Attention Network
- 3. HAN（Hierarchical Attention Network）
- 4. network representation learning（NRL）
- 5. [AAAI2018]Learning Structured Representation Representation for Text Classification via Reinforcemen
- 6. NRL: network representation learning & NE: network embedding. 相關論文總結
- 7. 13.Hierarchical Graph Representation Learning with Differentiable Pooling
- 8. 《HARP-Hierarchical Representation Learning for Networks》論文解讀
- 9. Hierarchical Graph Representation Learning with Differentiable Pooling摘要
- 10. 論文理解—— Disentangle-based Continual Graph Representation Learning
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相關文章
- 1. Hierarchical Attention Based Semi-supervised Network Representation Learning
- 2. Sequential Recommender System based on Hierarchical Attention Network
- 3. HAN（Hierarchical Attention Network）
- 4. network representation learning（NRL）
- 5. [AAAI2018]Learning Structured Representation Representation for Text Classification via Reinforcemen
- 6. NRL: network representation learning & NE: network embedding. 相關論文總結
- 7. 13.Hierarchical Graph Representation Learning with Differentiable Pooling
- 8. 《HARP-Hierarchical Representation Learning for Networks》論文解讀
- 9. Hierarchical Graph Representation Learning with Differentiable Pooling摘要
- 10. 論文理解—— Disentangle-based Continual Graph Representation Learning