Hierarchical Attention Based Semi-supervised Network Representation Learning

时间 2020-08-18

标签 hierarchical attention based semi supervised network representation learning 栏目系统网络繁體版

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Hierarchical Attention Based Semi-supervised Network Representation Learning 1. 任务给定：节点信息网络目标：为每一个节点生成一个低维向量基于半监督的分层关注网络嵌入方法 2. 创新点：以半监督的方式结合外部信息 1. 提出SHANE 模型，集成节点结构，文本和标签信息，并以半监督的方式学习网络嵌入 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
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7. 13.Hierarchical Graph Representation Learning with Differentiable Pooling
8. 《HARP-Hierarchical Representation Learning for Networks》论文解读
9. Hierarchical Graph Representation Learning with Differentiable Pooling摘要
10. 论文理解—— Disentangle-based Continual Graph Representation Learning
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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. 相关论文总结
7. 13.Hierarchical Graph Representation Learning with Differentiable Pooling
8. 《HARP-Hierarchical Representation Learning for Networks》论文解读
9. Hierarchical Graph Representation Learning with Differentiable Pooling摘要
10. 论文理解—— Disentangle-based Continual Graph Representation Learning

>>更多相关文章<<