Graph Processing

Graph processing involves analyzing and manipulating data organized as graphs, where entities are represented as nodes (points) and their relationships as edges (connections). This approach is used to understand complex systems like social networks, transportation routes, or communication systems by exploring connections, finding patterns, and making predictions. Techniques include efficiently searching for relationships, identifying influential nodes, and analyzing how information flows through the network. It's a way to derive insights from interconnected data, helping solve problems across various industries by revealing structures and relationships that might not be obvious from raw data alone.