graphs

Definition

Data structured as nodes connected by edges, used when relationships matter more than the items themselves — molecules, social networks, knowledge bases, program dependencies. Graph neural networks handle this by passing messages along edges so each node's representation absorbs its neighbourhood. Note the everyday English sense: here a graph is a network, not a plotted chart.

Explainers using this term

• Build Your Own Vector DB — From Brute Force to HNSWEfficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs
• Hashing and Nearest-Neighbor Search — The Groundwork Under Vector SearchEfficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs
• Graph Algorithms from Scratch — Shortest Paths and Where They LeadEfficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs