Graph Neural Networks in Practice: Molecules, Fake News, and Traffic

Most ML projects treat data as rows (tables) or sequences (time series). But in many real systems the signal lives in relationships: atoms bonded to atoms, users connected by information flow, sensors linked by road topology. This repo is a three-part portfolio showing how the same core idea—message passing on graphs—solves problems across chemistry, social media, and transportation.