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In this session, we explored one of the most essential and versatile topics in coding interviews — Graphs. We began by building the core intuition behind graph structures, how they model real-world relationships, and why they are so important for solving complex connectivity problems. We then covered fundamental concepts such as graph representation (adjacency list & matrix), directed vs. undirected graphs, weighted graphs, and traversal techniques like BFS and DFS. Throughout the session, we solved popular LeetCode 75 graph problems, focusing on patterns such as cycle detection, shortest path intuition, connected components, flood-fill, and graph traversal strategies. We also discussed when to prefer BFS over DFS, how to handle visited sets, and how recursion and queue-based approaches fit naturally into graph problems. By the end of the video, you’ll have a strong foundation in working with graphs and the confidence to approach interview-style problems using clear patterns and structured thinking.