What are common examiner traps in Graph Theory?

Assuming pairwise twin lookup requires a nested search or comparison sort, leading to incorrect choices like (m2) or (m log m) Confusing graph vertices n and edges m when applying counting sort across the key range [1, n] for 2m elements Overlooking the constraint that memory size is unconstrained, which enables auxiliary hashing, lookup tables, or counting sort

GATE CSE Graph Theory PYQs

Standard yield0.8% of Programming and Data Structures

In Programming and Data Structures, graph representation questions evaluate asymptotic time and space complexities associated with augmenting or manipulating st… Read the guide

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Questions: 1
Asked: 2016
Total marks: 2
Marks / paper: 0.1

1 GATE CSE Graph Theory PYQs with solutions, from Programming and Data Structures. Browse all GATE CSE PYQs.

Questions

Every official paper that asked this topic, newest first.

GATE CSE 2016 Set 2 · Q41In an adjacency list representation of an undirected simple graph $G = (V, E)$ , each edge $(u, v)$ has two adjacency list entries: $[v]$ in the adjacency list of $u$ , and $[u]$ in the adjacency list of $v$ . These are called twins of each other. A twin pointer is a pointer from an adjacency list entry to…MCQ2 marksMediumSolve

What GATE tests in Graph Theory

Concepts, patterns, formulas and traps distilled from past papers.

In Programming and Data Structures, graph representation questions evaluate asymptotic time and space complexities associated with augmenting or manipulating standard graph data structures like adjacency lists and matrices. GATE tests students' ability to exploit non-comparison sorting (such as radix/counting sort) or auxiliary direct-address tables when standard pointer linkages need to be constructed efficiently.

Core concepts

Adjacency list representation of undirected graphs
Twin pointers linking (u, v) and (v, u) list nodes
Linear-time non-comparison sorting (Radix / Counting sort) on edge lists
Time complexity analysis with unconstrained auxiliary memory

Recurring question patterns

Graph Representation Augmentation and Time Complexity
RareMCQ2 marks2016
Given a graph $G=(V, E)$ with $|V|=n$ and $|E|=m$ stored in a standard representation (e.g., adjacency list), determine the optimal time complexity to compute cross-pointers, augment node entries (e.g., twin pointers for undirected edges), or convert representations when auxiliary space is unconstrained.

Formulas GATE uses

Total Adjacency List Size for Undirected Graphs

\sum_{v \in V} \text{deg}(v) = 2m

Used to count total directed edge entries across all adjacency list chains in an undirected graph with $m$ edges.

Radix / Counting Sort over Vertex Index Range

T(n, m) = \Theta(n + m)

Used when sorting $2m$ edge pairs $(u, v)$ where keys $u, v \in \{1, \dots, n\}$ to achieve linear-time matching of twin entries.

Examiner traps in Graph Theory

Assuming pairwise twin lookup requires a nested search or comparison sort, leading to incorrect choices like (m2) or (m log m)
Confusing graph vertices n and edges m when applying counting sort across the key range [1, n] for 2m elements
Overlooking the constraint that memory size is unconstrained, which enables auxiliary hashing, lookup tables, or counting sort

How questions are asked

Asymptotic time complexity analysis of graph data structure transformations
Data structure pointer manipulation efficiency

Paper trends

Graph questions in the Programming and Data Structures section focus on structural representations, memory pointers, and algorithmic manipulation of adjacency list nodes rather than high-level graph theory proofs.
2016

Difficulty notes

Medium questions require combining graph representation properties (number of entries = $2m$ ) with algorithmic techniques (such as counting sort on keys bounded by $n$ ) to achieve an optimal $\Theta(n+m)$ bound instead of a naive search.