Graph partitioning involves dividing a graph into smaller, non-overlapping subgraphs while minimizing the number of edges between them, often to optimize parallel processing or improve computational efficiency. This technique is crucial in various fields such as computer science, network analysis, and scientific computing, where it helps in load balancing, reducing communication overhead, and enhancing data locality.