
Graph Data Structure - GeeksforGeeks
Jul 23, 2025 · Graph Data Structure is a collection of nodes connected by edges. It's used to represent relationships between different entities. If you are looking for topic-wise list of …
Graph (abstract data type) - Wikipedia
A graph data structure consists of a finite (and possibly mutable) set of vertices (also called nodes or points), together with a set of unordered pairs of these vertices for an undirected graph or a …
DSA Graphs - W3Schools
Graphs are non-linear because the data structure allows us to have different paths to get from one vertex to another, unlike with linear data structures like Arrays or Linked Lists.
Graph Data Structure - Online Tutorials Library
What is a Graph? A graph is an abstract data type (ADT) which consists of a set of objects that are connected to each other via links. The interconnected objects are represented by points …
Graph - datastructures.org
A graph is a non-linear data structure that consists of a set of vertices (or nodes) and a set of edges that connect them. Unlike a tree, which has a hierarchical structure, a graph can have …
Graph Data Structure - Programiz
In this tutorial, you will understand different representations of graph.
What is the Data Structure? The common queries (e.g., “is (u,v) an edge?” versus “what are the neighbors of node u?”) Best for sparse or dense graphs? How will the adjacency matrix vary …
Graph Data Structure: Types, Uses, Examples, Algorithms
Nov 25, 2025 · Let’s learn everything about graphs in data structure, types, representation, traversal, implementation, and more. What is Graph Data Structure? A graph in data structure …
Introduction to Graph Data Structure with Practical Examples
Formally, a graph G is defined as a pair (V, E), where V represents the set of vertices or nodes, and E represents the set of edges connecting these nodes. In computer science and …
Graph Algorithms - GeeksforGeeks
Jul 23, 2025 · Graph is a non-linear data structure like tree data structure. The limitation of tree is, it can only represent hierarchical data. For situations where nodes or vertices are randomly …