斯坦福大学在2019年开设的CS224W课程为Machine Learning with Graphs
官方网址：http://web.stanford.edu/class/cs224w/
b站视频：https://www.bilibili.com/video/BV1me411x7Rm
课程列表：
- Introduction; Structure of Graphs
- Properties of Networks and Random Graph Models
- Motifs and Structural Roles in Networks
- Community Structure in Networks
- Spectral Clustering
- Message Passing and Node Classification
- Graph Representation Learning
- Graph Neural Networks
- Graph Neural Networks: Hands-on Session
- Deep Generative Models for Graphs
- Link Analysis: PageRank
- Network Effects and Cascading Behavior
- Probabilistic Contagion and Models of Influence
- Influence Maximization in Networks
- Outbreak Detection in Networks
- Network Evolution
- Reasoning over Knowledge Graphs
- Limitations of Graph Neural Networks
- Applications of Graph Neural Networks
