LeetCode Topic

Topological Sort LeetCode problems

Open the Topological Sort pattern family, compare representative problems, and move into solver-first interview prep without losing the topic context.

28 indexed problemsGraph indegree plus topological ordering
Easy
0
Medium
10
Hard
18
Representative problems in one family
Pattern summary and difficulty mix
Direct path into the GhostInterview solver
Topological Sort problem set

Representative Topological Sort problems

#207 Course Schedule

Determine if all courses can be completed by analyzing prerequisite dependencies using indegree tracking and topological sorting to detect cycles.

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#210 Course Schedule II

Solve the 'Course Schedule II' problem using graph indegree and topological ordering, utilizing DFS or BFS to find the correct course order.

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#310 Minimum Height Trees

Identify all roots of a tree that produce minimum height using graph indegree analysis and topological trimming.

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#329 Longest Increasing Path in a Matrix

Find the length of the longest increasing path in a matrix with given movement constraints using graph techniques.

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#802 Find Eventual Safe States

Solve the problem of finding eventual safe states in a directed graph using depth-first search and topological sorting.

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#851 Loud and Rich

Determine the quietest person richer than each individual using graph indegree analysis and topological ordering techniques.

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#913 Cat and Mouse

Determine the outcome of a two-player Cat and Mouse game on a graph using topological ordering and memoized dynamic programming.

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#1203 Sort Items by Groups Respecting Dependencies

Sort items into groups while respecting dependencies using graph indegree tracking and topological ordering patterns effectively.

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#1462 Course Schedule IV

Determine if one course is a prerequisite of another using graph indegree tracking and topological ordering efficiently.

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Topological Sort interview questions usually collapse into a small set of repeatable moves. This page groups those GhostInterview problem pages together so you can stay inside one pattern family, compare representative questions, and practice explanations that transfer across multiple prompts. If you are trying to sharpen one interview weakness instead of browsing the entire library, start here.

Why Topological Sort Matters In Coding Interviews

Interviewers rarely care about the label alone. They care about whether you can recognize when the Topological Sort pattern applies, explain why it applies, and avoid the failure modes that usually show up under time pressure. That is why this page focuses on the family of problems rather than a single isolated example.

Pattern families that show up here

  • Graph indegree plus topological ordering
  • Array scanning plus hash lookup

Use this page to narrow the session

Start from this topic hub, choose one or two representative problems, and then open the detailed problem pages only after you know which version of the pattern you want to reinforce.

How To Practice This Topic

The best workflow is to keep the prep block narrow. Pick one easy or medium problem to confirm the base pattern, then one medium or hard problem to test whether the explanation still holds when the constraints tighten. Once the logic is stable, move into GhostInterview to rehearse the live explanation flow.

Focus on transfer, not title count

Solving more Topological Sort titles is less useful than understanding how the same move changes across examples. Try to describe what stays the same and what changes from one problem to the next.

Use the problem page when you want the exact breakdown

This topic hub is the discovery layer. The single-problem pages are where you get the answer-first summary, examples, constraints, approach, complexity, pitfalls, and solver CTA.

How GhostInterview Fits

GhostInterview works best after you know which pattern family you are inside. Use this page to choose the right Topological Sort problem, then use the solver to get the answer path, complexity framing, and follow-up support without switching into a generic study flow.

FAQ

What does the Topological Sort topic usually test in interviews?

Topological Sort questions usually test whether you can spot the underlying pattern quickly, explain the trade-offs, and move from intuition to implementation without losing clarity.

How should I use this Topological Sort topic page?

Use it as a pattern hub. Start with the representative problems on this page, compare the common approach, and then open the exact problem page when you want the full breakdown.

How many GhostInterview problem pages are in the Topological Sort group?

This topic page currently groups 28 indexed GhostInterview problem pages under the Topological Sort family.

Should I practice this topic before harder patterns?

That depends on your current gaps. If Topological Sort is already a weak spot in interviews, it is usually better to stabilize it first before moving into more advanced or less frequent patterns.

Where does GhostInterview fit once I pick a Topological Sort problem?

The topic page narrows the pattern family. The problem page gives the exact breakdown. GhostInterview is the solver layer when you need direct help with execution, complexity, and follow-up handling.

Need direct help once you choose a Topological Sort problem?

Use GhostInterview as the solver layer after you select the exact prompt. Capture the question, get the answer path and complexity framing, and keep the workflow inside the same topic family.