> For the complete documentation index, see [llms.txt](https://luweikxy.gitbook.io/machine-learning-notes/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://luweikxy.gitbook.io/machine-learning-notes/graph-neural-networks.md).

# GNN图神经网络

* [返回顶层目录](https://luweikxy.gitbook.io/machine-learning-notes/pages/-LpO5vE88qYwjk5WM_Qf#目录)
* [图神经网络综述](/machine-learning-notes/graph-neural-networks/graph-neural-networks-review.md)
* [图卷积网络](/machine-learning-notes/graph-neural-networks/graph-convolutional-networks.md)
  * [GCN图卷积网络初步理解](broken://pages/-LpO5vHFI1dTGcyZJtVa)
  * [GCN图卷积网络的numpy简单实现](broken://pages/-LpO5vHGnsIKDlOxlmmQ)
  * [GCN图卷积网络本质理解](/machine-learning-notes/graph-neural-networks/graph-convolutional-networks/gcn-essential-understand.md)
  * [GCN图卷积网络全面理解](/machine-learning-notes/graph-neural-networks/graph-convolutional-networks/gcn-comprehensive-understand.md)
  * [SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS ICLR2017](/machine-learning-notes/graph-neural-networks/graph-convolutional-networks/semi-supervised-classification-with-graph-convolutional-networks.md)
  * [Graph Convolutional Neural Networks for Web-Scale Recommender Systems KDD2018](/machine-learning-notes/advanced-knowledge/graph-convolutional-network/graph-convolutional-neural-networks-for-web-scale-recommender-systems.md)
* 图注意力网络


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://luweikxy.gitbook.io/machine-learning-notes/graph-neural-networks.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
