Grandhi Harshitha

Graph algorithms are fundamental in computer science, enabling us to navigate and analyze networks effectively. Two of the most prominent graph traversal algorithms are Breadth-First Search (BFS) and Depth-First Search (DFS). This blog post will delve into the key differences between these algorithms, their implementations, and their applications in real-world scenarios.

Graph representation is essential for effectively implementing graph algorithms and understanding the relationships between nodes. The two most common representations of graphs are the Adjacency Matrix and the Adjacency List. This blog post will compare these two representations, discussing their structures, advantages, and use cases.