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 …

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 …

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.

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 …

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 …

A graph data structure is a collection of nodes that have data and are connected to other nodes. In this tutorial, you will understand different representations of graph.

Unlike a tree, which has a hierarchical structure, a graph can have any number of connections between nodes, including cycles (where you can return to a starting node by following the edges).

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 …

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 …

Jun 29, 2024 · One of the most important things to understand in graph theory is how to store them in memory. In this tutorial, we’ll explain and compare three main data structures for …