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Solution: All Paths From Source to Target

Explore how to use depth-first search combined with backtracking to find all possible paths from the source node to the target node in a directed acyclic graph. Understand the recursive approach, path tracking, and why the lack of cycles ensures efficient traversal. This lesson helps you implement and reason about graph pathfinding in coding interviews.

Statement

You are given a directed acyclic graph (DAG) with nn nodes, labeled from 00 to n1n - 1. The graph is represented as an adjacency list, where graph[i] is a list of all nodes to which node i has a directed edge to.

Your task is to find all possible paths from node 0 ...