Graph Traversal Methods: Depth-First Search (DFS) and Breadth-First Search (BFS)

The two ways to traverse a graph are depth-first search (DFS) and breadth-first search (BFS).

Depth-first search is a traversal method that explores the depth of a graph by continuously moving forward along a path. The algorithm starts from a starting node and keeps exploring until it reaches a point where it can no longer move forward. It then backtracks to the previous node and continues to explore the next path until the entire graph is traversed.

Breadth-first search is a traversal method that explores a graph level by level. The algorithm starts from a starting node and first explores all the nodes directly connected to the starting node. It then proceeds to explore the nodes that are directly connected to those previously explored nodes, and so on, until all nodes have been traversed.

Both of these traversal methods are commonly used in graph applications. The choice between DFS and BFS depends on the requirements of the problem and the structure of the graph.