Machine Learning
Graph Neural Network
A type of neural network designed to operate on graph-structured data (nodes and edges). GNNs learn representations of nodes, edges, or entire graphs by aggregating information from neighbors.
Why It Matters
GNNs are essential for social network analysis, molecular discovery, recommendation systems, and any domain where relationships between entities matter as much as the entities themselves.
Example
A GNN analyzing a social network to predict which users might be interested in a product by considering their friends' interests and purchasing patterns.
Think of it like...
Like understanding a person by studying not just them but their circle of friends, their friends' friends, and the connections between them all.