LeetCode Top 100 Liked: Graph Questions Explained in Java | Part 6

In this video, I solve and explain the Graph questions from the LeetCode Top 100 Liked Questions list using Java. This is Part 6 of my LeetCode Top 100 Liked series. In this part, I cover important Graph problems with detailed intuition, dry runs, full Java code, and time-space complexity analysis. Topics covered include: ✅ BFS (Breadth First Search) ✅ DFS (Depth First Search) ✅ Topological Sort ✅ Graph Traversal Patterns ✅ Interview-focused Graph Problems Problems covered: • Number of Islands • Course Schedule • Rotting Oranges Along with other important graph concepts and techniques. In this video, you'll learn: ✔️ Problem intuition ✔️ Step-by-step approach ✔️ Full Java implementation ✔️ Dry runs ✔️ Time and space complexity ✔️ Interview-oriented problem solving This video is useful for: • Coding interviews • Internship preparation • Placement preparation • DSA revision • Java LeetCode practice Series so far: Part 1 – Easy Questions Part 2 – Binary Search Part 3 – Matrix Questions Part 4 – Two Pointers & Sliding Window Part 5 – Miscellaneous Medium & Hard Questions Part 6 – Graph Questions Language: Java #leetcode #java #graphs #bfs #dfs #topologicalsort #dsa #codinginterview #placements #leetcodejava #datastructuresandalgorithms