> For the complete documentation index, see [llms.txt](https://gzbin.gitbook.io/map/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gzbin.gitbook.io/map/algorithm/gnn.md).

# GNN

图神经网络

[**DGL**](https://docs.dgl.ai)

利用MMediapipe和DGL实现火影结印识别与追踪---特殊手势识别 [csdn](https://blog.csdn.net/weixin_45564943/article/details/121688966)

## 课程

|                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
| --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 图神经网络与知识图谱的碰撞 [将门-TechBeat技术社区](https://www.youtube.com/watch?v=uHew6zV3YI8)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
| Graph Neural Network Tutorial 圖神經網路教學 (2022/01/28) [周遠同](https://www.youtube.com/watch?v=Obbr5TdD3Bo)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
| 零基础多图详解图神经网络（GNN/GCN）[Mu Li](https://www.youtube.com/watch?v=sejA2PtCITw)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
| Graph Algorithms [Joe James](https://www.youtube.com/playlist?list=PLj8W7XIvO93oxLOZTi8JFghuRcKieIZU-)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
| <p><strong>CS224W: Machine Learning with Graphs(</strong><a href="https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn"><strong>uList</strong></a><strong>, )</strong></p><p>Stanford CS224W: Machine Learning with Graphs Stanford Online</p>                                                                                                                                                                                                                                                                                                                                                                                                                                  |
| Graph Analytics and Graph-based Machine Learning [AICamp](https://www.youtube.com/watch?v=jxyRGWO8IkU)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
| **Graph Neural Networks** [**Yannic Kilcher**](https://www.youtube.com/playlist?list=PL1v8zpldgH3rHYTE08Gu4w3tMZpDZIkUO)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
| Learning the Structure of Graph Neural Networks \| Mathias Niepert \| [heidelberg.ai](https://www.youtube.com/watch?v=9XoCQn34tXo)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
| Generative Models, Adversarial Networks GANs, Variational Autoencoders VAEs, Representation Learning [Manolis Kellis](https://www.youtube.com/watch?v=XEN5VfFScSg)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
| GraphQL：GraphQL是一种用于API开发的查询语言和运行时。它提供了一种灵活的方式，使得客户端可以根据其需要查询数据，从而提高了API的效率和可用性。                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
| GraphQL [Albert's Code Lab](https://www.youtube.com/playlist?list=PLwY2GJhAPWRdbG_qxuGsIMSrrLIvqXFpX) [Creat Code Build](https://www.youtube.com/playlist?list=PLwY2GJhAPWRdbG_qxuGsIMSrrLIvqXFpX)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
| GraphQL Crash Course With Full Stack MERN Project [Traversy Media](https://www.youtube.com/watch?v=BcLNfwF04Kw)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
| <p>神经网络 （六）图神经网络 Graph Neural Network <a href="https://www.youtube.com/watch?v=lkOgohfZdjU">技术喵</a></p><p>A comprehensive survey on graph neural networks <a href="https://arxiv.org/pdf/1901.00596.pdf">1901.00596</a></p><p>Graph Neural Networks: Models and Applications <a href="https://cse.msu.edu/~mayao4/tutorials/aaai2020/">s</a></p><p>ChebyNet: Convolutional neural networks on graphs with fast localized spectral <a href="https://proceedings.neurips.cc/paper/2016/file/04df4d434d481c5bb723be1b6df1ee65-Paper.pdf">neurips2016</a></p><p>GCN: Semi-supervised classification with graph convolutional networks <a href="https://arxiv.org/pdf/1609.02907.pdf">1609.02907</a></p> |
|                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
| Intro to graph neural networks (ML Tech Talks) [TensorFlow](https://www.youtube.com/watch?v=8owQBFAHw7E)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
| Graph Algorithms for Technical Interviews - Full Course [freeCodeCamp](https://www.youtube.com/watch?v=tWVWeAqZ0WU)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
| 度量和改进图信息在图神经网络中的使用 侯逸帆 [陈海顺](https://www.youtube.com/watch?v=9aEaYT0qHMM)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
| Craft GraphQL APIs in Elixir with Absinthe [pragprog](https://pragprog.com/titles/wwgraphql/craft-graphql-apis-in-elixir-with-absinthe/)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
| GraphQL Course for Beginners [freeCodeCamp](https://www.youtube.com/watch?v=5199E50O7SI)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
|                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
|                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |

|                                                                                                            |
| ---------------------------------------------------------------------------------------------------------- |
| Social Networks [u](https://www.youtube.com/channel/UCkaHdRliLnyH8F0nxLxTSrA/playlists)                    |
| Social Networks [NPTEL-NOC IITM](https://www.youtube.com/playlist?list=PLyqSpQzTE6M8CLBcLnq-f3vHRH-klC39L) |

| NetworkX                                                                                                                                                                                                                      |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| NetworkX [s](https://networkx.org/)                                                                                                                                                                                           |
| Introduction to NetworkX in Python [Professor Foote](https://www.youtube.com/watch?v=flwcAf1_1RU) [git](https://github.com/jdfoote/Intro-to-Programming-and-Data-Science/blob/summer2020/extra_topics/network_analysis.ipynb) |
| Social Network Analysis - From Graph Theory to Applications - Dima Goldenberg - PyCon Israel 2019 [PyCon Israel](https://www.youtube.com/watch?v=px7ff2_Jeqw) [git](https://github.com/dimgold/pycon_social_networkx)         |
| Network Analysis with Python [pvierth](https://www.youtube.com/watch?v=oA7QhYOhW_0)                                                                                                                                           |
| How To Create Python Network Graphs \|\| NetworkX Overview \|\| Graph Plotting \|\| Matplotlib \|\| Advanced [NetMinion Solutions](https://www.youtube.com/watch?v=7NWeLuG8tVo)                                               |
| Johannes Wachs - Analyzing Networks In Python [PyCon SK](https://www.youtube.com/watch?v=yMSCWLma46s)                                                                                                                         |
| Networkx Tutorials [HowTo](https://www.youtube.com/playlist?list=PLbu9W4c-C0iC-f1ByMHSa07OSgEQQ-rAk)                                                                                                                          |
| Rob Chew, Peter Baumgartner \| Connected: A Social Network Analysis Tutorial with NetworkX [PyData](https://www.youtube.com/watch?v=7fsreJMy_pI)                                                                              |
| K Jarrod Millman - Complex network analysis with NetworkX\| [PyData](https://www.youtube.com/watch?v=ezL7j4nSXpQ) Global 2020                                                                                                 |
| Complex Network Analysis in Python [pragprog](https://pragprog.com/titles/dzcnapy/complex-network-analysis-in-python/)                                                                                                        |
| Graphs, Networks and Python: The Power of Interconnection by Lachlan Blackhall [PyCon AU](https://www.youtube.com/watch?v=1q7FBxy1Rds)                                                                                        |
| Network of The Witcher \| Relationship Extraction & Network Analysis with Spacy & NetworkX [Thu Vu data analytics](https://www.youtube.com/watch?v=fAHkJ_Dhr50)                                                               |
| Graph Neural Networks - a perspective from the ground up [Alex Foo](https://www.youtube.com/watch?v=GXhBEj1ZtE8)                                                                                                              |
| The ultimate intro to Graph Neural Networks. Maybe. [AI Coffee Break with Letitia](https://www.youtube.com/watch?v=me3UsMm9QEs)                                                                                               |
| NetworkX Crash Course - Graph Theory in Python [NeuralNine](https://www.youtube.com/watch?v=VetBkjcm9Go)                                                                                                                      |
| Social Network Analysis [JCharisTech](https://www.youtube.com/playlist?list=PLJ39kWiJXSiydQTUiXzF9xtMk4sABjrWM)                                                                                                               |
|                                                                                                                                                                                                                               |
|                                                                                                                                                                                                                               |

| 图计算                                                                                                                                                                                                                                                                                                                                                                    |
| ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 图计算专场 [Watching IT Conference](https://www.youtube.com/watch?v=tlTHcyoWvuE)                                                                                                                                                                                                                                                                                            |
| <p>"图计算"和"计算图"是不同的概念，尽管它们之间有一些关联。</p><p>"计算图"通常指的是一种表示计算过程的图形结构，其中节点表示计算操作，边缘表示数据流。它通常被用于深度学习中，以表示神经网络的计算过程。在计算图中，每个节点执行特定的数学运算，并将结果传递给后续节点。这种图形表示方式有助于优化计算和自动求导。</p><p>"图计算"是一种计算模型，它使用图形结构来表示和处理数据。它的基本思想是将数据存储为图形结构，然后使用图形算法来处理数据。图计算可以应用于许多领域，例如社交网络分析、推荐系统和生物信息学。</p><p>因此，尽管它们之间有一些相似之处，但"图计算"和"计算图"是不同的概念。"计算图"是一种表示计算过程的图形结构，而"图计算"是一种使用图形结构来表示和处理数据的计算模型。</p> |
|                                                                                                                                                                                                                                                                                                                                                                        |

| Gephi                                                                                                                                        |
| -------------------------------------------------------------------------------------------------------------------------------------------- |
| Using Gephi to visualise and understand communities [Melvin L](https://www.youtube.com/watch?v=dSx5_PjaWVE)                                  |
| GEPHI - Network visualization tutorial \[HD] [Martin Grandjean](https://www.youtube.com/watch?v=FLiv3xnEepw)                                 |
| A Walkthrough Analysis of Tor Networks in Gephi [jengolbeck](https://www.youtube.com/watch?v=JfMTWr8_pw4)                                    |
| Gephi Tutorials [jengolbeck](https://www.youtube.com/playlist?list=PLk_jmmkw5S2BqnYBqF2VNPcszY93-ze49)                                       |
| Combine and Analyze Co-Hashtag Networks (Instagram, Twitter, etc.) with Gephi [Bernhard Rieder](https://www.youtube.com/watch?v=ngqWjgZudeE) |
| Week 3: Gephi - An Introduction Tour [Data Analytics and Learning MOOC](https://www.youtube.com/watch?v=L0C_D68E1Q0)                         |

## books

|                                                                                                                                                |
| ---------------------------------------------------------------------------------------------------------------------------------------------- |
| Graph Algorithms: Practical Examples in Apache Spark and Neo4j [libgen](https://libgen.is/book/index.php?md5=CC42A7B9970C7F4930F014ABABE5E03A) |
| Neo4j [u](https://www.youtube.com/@neo4j/playlists)                                                                                            |
| Natural Language Processing with Graphs [Neo4j](https://www.youtube.com/watch?v=BVMx24dtko0)                                                   |
| Going meta - a series on graphs, semantics and knowledge [Neo4j](https://www.youtube.com/playlist?list=PL9Hl4pk2FsvX-5QPvwChB-ni_mFF97rCE)     |
|                                                                                                                                                |

其他

Security Graph 3D Visualization: WikiLeaks.org [Cisco Umbrella](https://www.youtube.com/watch?v=JsEm-CDj4qM)
