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

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