Graph Traversals
Explore how to systematically visit all nodes in a graph using breadth-first search and depth-first search. Learn the implementations, time and space complexity, and practical use cases to build foundational skills in graph algorithms.
Graph traversal is the process of visiting all vertices (nodes) in a graph systematically. It is a fundamental concept because many graph algorithms rely on efficient graph exploration.
The two most common graph traversal techniques are:
Breadth-first search (BFS)
Depth-first search (DFS)
Breadth-first search (BFS)
Breadth-First Search explores a graph level by level. Starting from a chosen node, it first visits all immediate neighbors before moving to nodes at the next level.
Key idea
BFS uses a queue (FIFO: first in, first out).