From Basic ML to Graph ML
May 12, 2024
This is a series of blogs on Graph ML. I will try to cover things from basic to advanced. Most of the content is inspired by Stanford’s 224w course, Hamilton’s Graph Representation Learning Book, Basira Labs, and other random sources. I’ll try to update this frequently. Please feel free to contact me if required.
Chapter 1: Introducing Graphs to ML
Chapter 2: Designing Features for Graph ML
Chapter 3: How to generate node-embeddings using encoder-decoder in Graphs
Coming up:
Chapter 4: Everything you need to know about Graph Neural Networks
