Solution: Clone Graph
Explore how to create a deep copy of an undirected graph using a depth-first search traversal combined with a hash map. Learn to implement a recursive cloning function to handle neighbors and avoid cycles, which helps you clone complex graphs efficiently. This lesson equips you with a practical approach to graph cloning often asked in coding interviews.
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Statement
You are given a reference to a single node in an undirected, connected graph. Your task is to create a deep copy of the graph starting from the given node. A deep copy means creating a new instance of every node in the graph with the same data and edges as the original graph, such that changes in the copied graph do not affect the original graph.
Each node in the graph contains two properties:
data: The value of the node, which is the same as its index in the adjacency list.neighbors: A list of connected nodes, representing all the nodes directly linked to this node.
However, in the test cases, a graph is represented as an adjacency list to understand node relationships, where each index in the list represents a node (using 1-based indexing). For example, for