In computer science, a graph is an abstract data type that is meant to implement the undirected graph and directed graph concepts from the field of graph theory within mathematics.

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Apr 1, 2024 · Graph algorithms are methods used to manipulate and analyze graphs, solving various range of problems like finding the shortest path, cycles detection. If you are looking for difficulty-wise list of problems, please refer to Graph Data Structure. Quick Links : Recommended:

Apr 13, 2025 · Graphs are fundamental data structures in various computer science applications, including network design, social network analysis, and route planning. Understanding graph terminology is crucial for effectively navigating and manipulating graph data structures.

Jun 7, 2024 · In this tutorial, we’ll discuss some of the most important data structures in computer science –Â graphs. We’ll first study the basics of graph theory, in order to familiarize ourselves with its conceptual foundation.

Dec 17, 2012 · The most familiar example of a graph, in the computer-science sense, may be a network diagram, with computers or routers depicted as circles and the connections between them depicted as line segments.

May 26, 2023 · In computer science, a graph is an abstract representation of a set of objects, known as vertices or nodes, connected by a set of edges. Graphs offer a flexible way to depict relationships and ...

Graphs are often shown as diagrams, with circles used to represent the nodes, and lines (or arrows) used to represent the edges. This is possible only for very small data sets. In real life, a graph can have many thousands of nodes. This page introduces you …

What is a Graph? Vertices represent cities. Edges represent highways. This is a weighted graph, with a cost associated with each edge. We’ll use graph algorithms to answer questions like “What is the shortest route from Portland to Providence?” Two vertices are adjacent if they are connected by a single edge.

Graphs are mathematical concepts that have found many uses in computer science. Graphs come in many different flavors, many of which have found uses in computer programs. Some flavors are: ... and many more too numerous to mention. Most graphs are defined as a slight alteration of the following rules.