You can then use this graph representation to solve various problems, such as performing depth-first search (DFS), breadth-first search (BFS), or topological sorting. Python’s flexibility also ...

In this article, you will learn how to compare and contrast two common graph algorithms: breadth-first search (BFS) and depth-first search (DFS). You will also see some examples of problems that ...

The graph is represented as an adjacency list. Below is the structure of the example graph used in this implementation: BFS explores all nodes at the present depth before moving to nodes at the next ...

Learn the advantages and disadvantages of BFS and DFS for graph traversal, and how to decide which one to use based on your problem and graph. Sign in to view more content ...