Graph algorithms are powerful analytics tools that help explore and understand complex networks, revealing patterns and structures within them. They provide structured ways to navigate and analyze data, identifying connections, hubs, natural groups, and patterns in datasets. Graph algorithms are rooted in graph theory and are used across industries to tackle real-world problems, such as detecting sophisticated fraud, powering smarter recommendation engines, optimizing supply chains and logistics, simplifying identity and access management, and enhancing machine learning with graph features. The Neo4j Aura Graph Analytics provides a library of 65+ pre-built graph algorithms that can be easily accessed and applied to data, offering efficiency, scalability, and pay-as-you-go pricing.