Graphs

Graphs are fundamental data structures for modeling relationships and connections. Master graph algorithms for solving complex problems.

Learning Map

Graph concepts organized from fundamentals to advanced algorithms.

Prerequisites

• Time & Space Complexity Analysis
• Basic Data Structures
• Trees & Binary Trees

What's in scope

• Graph Fundamentals: Representation, terminology, traversal, and properties
• Graph Algorithms: Shortest path, minimum spanning tree, topological sorting
• Advanced Graph Problems: Network flow, bipartite matching, graph coloring

How to use this section

• Start with Graph Fundamentals to understand basic graph concepts
• Learn Graph Algorithms for essential graph algorithms
• Explore Advanced Graph Problems for complex applications

📄️ Graph Fundamentals

Learn graph representations (adjacency list and matrix), graph traversal algorithms (BFS and DFS), and connected components analysis.

📄️ Graph Algorithms

Learn essential graph algorithms including Dijkstra, Bellman-Ford, topological sort, and minimum spanning trees using Kruskal and Prim algorithms.

📄️ Advanced Graph Problems

Master advanced graph algorithms including Tarjan SCC, bipartite checking, Euler paths, and network flow concepts.