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  1. Learn about graph data structure in Java, its types, terminology, and implementation using Generic class. See examples of weighted, directed, undirected, connected, disconnected, and multi graphs.

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    • 15 min
    • Introduction to Graph: Introduction to Graphs. Graph and its representations. Types of Graphs with Examples. Basic Properties of a Graph. Applications, Advantages and Disadvantages of Graph.
    • BFS and DFS in Graph: Breadth First Traversal for a Graph. Depth First Traversal for a Graph. Applications of Depth First Search. Applications of Breadth First Traversal.
    • Cycles in Graph: Detect Cycle in a Directed Graph. Detect cycle in an undirected graph. Detect cycle in a direct graph using colors. Detect a negative cycle in a Graph | (Bellman Ford)
    • Shortest Path in Graph: Dijkstra’s shortest path algorithm. Bellman–Ford Algorithm. Floyd Warshall Algorithm. Johnson’s algorithm for All-pairs shortest paths.
  2. Apr 20, 2024 · Learn how to code a generic graph using HashMap in Java. See the syntax, example, and output of the graph class with various functions and methods.

    • Overview
    • Graph Data Structure
    • Graph Representations
    • Graphs in Java
    • Graph Mutation Operations
    • Traversing A Graph
    • Java Libraries For Graphs
    • Conclusion
    • GeneratedCaptionsTabForHeroSec

    In this tutorial, we’ll look at the basic concepts of a graph as a data structure. We’ll also explore its implementation in Java along with various operations possible on a graph. We will also discuss the Java libraries offering graph implementations.

    A graph is a data structure for storing connected datasuch as a network of people on a social media platform. A graph consists of vertices and edges. A vertex represents the entity (e.g., people) and an edge represents the relationship between entities (e.g., a person’s friendships). Let’s define a simple Graph to understand this better: Here we’ve...

    A graph can be represented in different forms such as adjacency matrix and adjacency list. Each one has their pros and cons in a different setup. We’ll introduce these graph representations in this section.

    Java doesn’t have a default implementation of the graph data structure. However, we can implement the graph using Java Collections. Let’s begin by defining a vertex: The above definition of vertex just features a label, but this can represent any possible entity such as Person orCity. Also, note that we have to override the equals() and hashCode()m...

    To start with, we’ll define some methods to mutate the graph data structure. Let’s define methods to add and remove vertices: These methods simply add and remove elements from the verticesSet. Now let’s also define a method to add an edge: This method creates a new Edge and updates the adjacent vertices Map. In a similar way, we’ll define the remov...

    Now that we have the graph data structure and functions to create and update it defined, we can define some additional functions for traversing the graph. We need to traverse a graph to perform any meaningful action, such as search within the graph. There are two possible ways to traverse a graph: depth-first traversal and breadth-first traversal.

    It’s not necessary to always implement the graph from scratch in Java. There are several open source and mature libraries available that offer graph implementations. In the next few subsections, we’ll go through some of these libraries.

    In this article, we discussed the graph as a data structure along with its representations. We defined a very simple graph in Java using Java Collections and also defined common traversals for the graph. We also talked briefly about various libraries available in Java outside the Java platform that provide graph implementations. As always, the code...

    Learn the basic concepts and implementations of graphs as data structures in Java. Explore graph representations, operations, and libraries with examples and code snippets.

  3. Learn how to create and print a graph using Java classes and arrays. See the code, output and graph diagram of an example with five vertices and eight edges.

  4. Mar 10, 2024 · Learn how to create, represent and traverse graphs in Java using HashMap and ArrayList. Explore different variants of graphs such as directed, weighted and cyclic graphs with examples and diagrams.

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  6. May 15, 2024 · The Adjacency matrix is the way to represent the graphs using the 2D array. It is the fundamental data structure in the graph theory. It can provide efficient ways to analyze connectivity and the relationship within the graph. Illustration of Adjacency Matrix. Step-by-Step Implementation of Graph Adjacency Matrix.

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