Graphs

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What is Graphs?

Graphs generalize trees by allowing arbitrary connections and cycles. The two core traversal techniques, DFS and BFS, work on graphs the same way they do on trees, but you must now track visited nodes explicitly to avoid infinite loops. This stage covers the main graph problem types: counting connected components, detecting cycles, finding shortest paths in unweighted graphs, and topological ordering of dependencies. Grids are also implicit graphs, where each cell is a node and adjacency is defined by its four neighbors. Most graph problems reduce to one of these patterns once you recognize the structure.

Free resources to learn Graphs

More in stage 14: Graphs

Graphs: common questions

Can I learn Graphs in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Graphs in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Graphs tutorial for beginners?

It is lesson 82 of 137 in the free LeetCode roadmap, in stage 14, Graphs. If you are new to LeetCode, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.

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