DFS uses a Stack data structure, either explicitly or through recursion, to keep track of the nodes to be explored.

BFS stands for Breadth First Search, which is an algorithm for traversing or searching tree or graph data structures.

A key characteristic of DFS is that it can be implemented using recursion, allowing it to explore as far as possible along each branch before backtracking.

BFS uses a Queue data structure to keep track of the nodes that need to be explored next.

BFS explores nodes level by level, making it suitable for finding the shortest path in unweighted graphs.

BFS can be used to find the shortest path in an unweighted graph because it explores all neighbors at the present depth prior to moving on to nodes at the next depth level.