Learn Graph Theory for your upcoming DSA interviews from scratch with real-life examples! In Part 1 of Graphs in Action, we explore the fundamentals — from the historic Königsberg Bridge Problem to understanding vertices, edges, graph types, and how to represent graphs using adjacency lists and adjacency matrices. Whether you’re a student starting with Data Structures & Algorithms (DSA), preparing for coding interviews, or simply curious about how graphs work, this video will guide you step-by-step through the basics in a clear and engaging way. ⸻ 📌 Chapters 00:00 Introduction 00:52 Brief History of Graphs 03:04 Understanding Graphs 04:12 Types of Graphs 05:29 Directed Graphs in Action 06:19 Graph Variations 07:05 Finding Total Possible Edges in a Graph 08:03 Representing Graphs in Memory 11:04 Comparing Representations ⸻ In this episode, you’ll discover: • The origins of graph theory and Euler’s breakthrough • What graphs are and why they’re important in computer science • Different graph types: undirected, directed, weighted, multigraphs, and loops • Two main graph representations — adjacency matrix & adjacency list • When to use each representation, along with their time and space complexities Explore Graphs Interactively Want to practice what you learn? Head over to — an interactive platform where you can: • Experiment with our graph playground • Solve graph-related coding problems • Learn DSA concepts with visual, hands-on simulations Perfect for: • Students learning DSA for the first time • Competitive programmers • Tech interview preparation for FAANG and top companies If you enjoyed this video, like, share, and subscribe so you don’t miss Part 2 — where we’ll dive into graph traversal algorithms like BFS and DFS. #graphtheory #dsa #datastructures #algorithms #codinginterview #faanginterview