A Gentle Introduction to Graph Neural Networks
Distill's walkthrough breaks down what it takes to build learning algorithms that actually use graph structure instead of flattening it away. You'll see how node features, edges, and aggregation patterns combine to create something more than just neural nets on graphs. For anyone building on knowledge graphs, molecular models, or recommendation systems.