"O(VE)" is a notation used in computer science to describe the time complexity of certain algorithms, particularly in graph theory. Here, "V" represents the number of vertices (or nodes) in a graph, and "E" represents the number of edges (or connections) between those vertices. This notation indicates that the time it takes to complete the algorithm grows linearly with the number of vertices and edges. Algorithms with a time complexity of O(VE) often involve traversing or processing each edge for every vertex, making them suitable for dense graphs where the number of edges is high relative to the number of vertices. Examples include the Bellman-Ford algorithm for finding the shortest paths in a graph with negative weights.