【PaperReading】Heterogeneous Graph Neural Network

Heterogeneous Graph Neural Network

1. 引言
2. 问题定义
- 2.1 内容关联异质图（Content-associated Heterogeneous Graphs）
- 2.2 异质图表示学习（Heterogeneous Graph Representation Learning）
3. HetGNN
- 3.1 采样异质邻居节点(C1)
- 3.2 编码异质的内容信息(C2)
- - 1 预训练分别得到不同属性的嵌入表示
  - 2 使用Bi-LSTM聚合不同属性的嵌入表示
- 3.3 聚合异质邻居的信息(C3)
- - 1. 同一类型邻居的聚合
  - 2. 不同类型邻居的聚合
- 3.4 目标函数
4. 实验

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【PaperReading】Heterogeneous Graph Neural Network

Heterogeneous Graph Neural Network

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