Notes based on CS224W: Machine Learning with Graphs (2021 Winter)

• Course website with all slides and labs: CS224W | Home (stanford.edu)
• Videos: Stanford CS224W: Machine Learning with Graphs - YouTube or 【双语字幕】斯坦福CS224W《图机器学习》课程(2021) by Jure Leskovec_哔哩哔哩_bilibili
• Colabs with my solutions: https://github.com/YZ-Cai/Colabs-CS224W-Machine-Learning-with-Graphs

Contents

1 Traditional Methods

Handcraft features for nodes/links/graphs, then use ML models for training and prediction

1.1 Node-level Features

1.1.1 Node degree

1.1.2 Node centrality