课程简介:
复杂的数据可以表示为对象之间的关系图。这种网络是对社会、技术和生物系统进行建模的基本工具。本课程重点关注海量图分析所面临的计算、算法和建模挑战。通过研究底层图结构及其特征,向学生介绍机器学习技术和数据挖掘工具,这些工具有助于揭示对各种网络的见解。
主题包括:表示学习和图神经网络;万维网算法;对知识图进行推理;影响力最大化;疾病爆发检测、社交网络分析。
课程官网:
(最新秋季课程)https://web.stanford.edu/class/cs224w/
(春季课程)https://snap.stanford.edu/class/cs224w-2023/
视频资源不开放
视频:
2023年春季斯坦福CS224W《图机器学习》 ——同济子豪兄中文精讲:
https://github.com/TommyZihao/zihao_course/tree/main/CS224W
https://space.bilibili.com/1900783/channel/collectiondetail?sid=915098
【【中英字幕】2021年春季斯坦福大学Stanford CS224W《图机器学习Machine Learning with Graphs》课程】 https://www.bilibili.com/video/BV1s54y1H76H/?share_source=copy_web&vd_source=be2dbc6e276c34a5d143c75d66d47b6d
2023年秋季斯坦福CS224W《图机器学习》课程团队:
2023年秋季斯坦福CS224W《图机器学习》课程内容大纲:
Date | Description | Optional Readings | Events | Deadlines |
---|---|---|---|---|
Tue, 9/26 | 1. Introduction [slides] | |||
Thu, 9/28 | 2. Node embeddings [slides] |
| Colab 0, Colab 1 out | |
Tue, 10/3 | 3. Graph neural networks [slides] |
| ||
Thu, 10/5 | 4. A general perspective on GNNs [slides] |
| Homework 1 out LaTeX template | |
Tue, 10/10 | 5. GNN augmentation and training [slides] |
| ||
Thu, 10/12 | 6. Theory of GNNs [slides] |
| Colab 2 out | |
Tue, 10/17 | 7. Heterogenous graphs [slides] |
| Colab 1 due | |
Thu, 10/19 | 8. Knowledge graphs [slides] |
| Homework 2 out LaTeX template | Homework 1 due |
Tue, 10/24 | 9. Reasoning over knowledge graphs [slides] |
| Project Proposal due | |
Thu, 10/26 | 10. Fast neural subgraph matching [slides] |
| Colab 3 out | Colab 2 due |
Tue, 10/31 | 11. GNNs for recommenders [slides] |
| ||
Thu, 11/2 | 12. Deep generative models for graphs [slides] |
| Homework 3 out LaTeX template | Homework 2 due |
Tue, 11/7 | ELECTION DAY - NO CLASS | |||
Thu, 11/9 | 13. Advanced topics in GNNs [slides] |
| Colab 4 out | Colab 3 due Project Milestone due |
Tue, 11/14 | 14. Graph Transformers [slides] | |||
Thu, 11/16 | 15. Scaling to large graphs [slides] |
| Colab 5 out | Homework 3 due |
Tue, 11/21 | BREAK | |||
Tue, 11/23 | BREAK | |||
Tue, 11/28 | 16. Geometric deep learning [slides] |
| ||
Wed, 11/29 | Exam | 11/29 5 PM - 12/1 5 AM | ||
Thu, 11/30 | 17. Link Prediction and Causality [slides] | Colab 4 due | ||
Tue, 12/5 | 18. Algorithmic reasoning with GNNs [slides] |
| Colab 5 due | |
Thu, 12/7 | 19. Conclusion [slides] | |||
Thu, 12/14 | Project Report due |
2023年春季斯坦福CS224W《图机器学习》课程团队:
2023年春季斯坦福CS224W《图机器学习》课程内容大纲:
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