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Nodes graph structures

In graph structures, nodes, also known as vertices, are fundamental components that represent entities within the graph. Each node can be connected to other nodes through edges, which represent relationships or connections between these entities. The arrangement and connections of nodes and edges form the overall structure of the graph.

There are various types of graphs based on the characteristics of nodes and edges. For instance, in an undirected graph, the connections between nodes are bidirectional, meaning that if node A is connected to node B, then B is also connected to A. Conversely, in a directed graph, the connections have a specific direction, indicating a one-way relationship from one node to another 24.

Additionally, nodes can have specific properties or attributes, and their arrangement can lead to different types of connectivity, such as connected graphs, where every node is reachable from any other node, or biconnected graphs, which do not have articulation points 2.

If you have more specific questions about nodes or graph structures, feel free to ask!

Graph Structures

 Theano Tutorial

Graph Structures Debugging or profiling code written in Theano is not that simple if you do not know what goes on under the hood. This chapter is meant to introduce you to a required minimum of the i...

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Everything about Graph Data Structure : An Overview

 Javarevisited

Everything about Graph Data Structure : An Overview Photo by Guille Álvarez on Unsplash Below is a Graph Data Structure A graph consists on Vertices (also called as nodes) and Edges. Claps and Follow...

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Graph Theory

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1\. Introduction to Graph Theory 1.1. Definition and Terminology Graph theory is a branch of mathematics that studies the relationship between pairs of objects. In the context of computer science, th...

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Graphs

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Graphs are a way of modeling systems based on a node and edge structure for representing the relationships between items. There are many types of systems and problems that lend themselves to be repres...

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Representing Graph Data Structures

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When you’re representing a graph structure G, the vertices, V, are very straight forward to store since they are a set and can be represented directly as such. For instance, for a graph of 5…

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Graphs

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General concepts ​ Definition ​ A graph G G G is defined by its vertices V V V and edges E E E and is often noted G = ( V , E ) G = (V, E) G = ( V , E ) . The following table summarizes the two main t...

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Graphs Data Structure: Depth First Search

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In a previous blog post we talked about how to apply the Breadth First Search algorithm to the graph data structure. Today, let’s figure out how Depth First Search (DFS) works. DFS is one of the…

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Python Structures: Graphs Part II

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Welcome to part II of my graph series. Here I’ll be explore the nuts and bolts of setting up the two classes (vertex, and the graph) for a graph structure. Now like any good programmer, before we…

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Graph Theory Basics

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In programming and mathematical terms, graph theory is really nothing new, but the implementation and usage of it in code has grown in advances in Machine Learning and AI. One big reason for this is…

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Graph Data Structure — Theory and Python Implementation

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Hi everyone, in previous articles we had the opportunity to talk about widely used data structures like linked lists, queues, stacks, etc. The basic concept behind these data structures is the…

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Graph theory

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Graphs (G) are special data structures that are composed of vertices (a.k.a nodes V) and edges (a.k.a. links E) G(V, E). Edges can be weighted and represent, for example, a distance between cities.

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Designing a Graph Data Structure in a Relational Database

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If you ever wanted to ask me why would you ever want to design a Graph Data Structure in a Relational Database (like MySQL or Postgres), and not use a Graph Database or NoSQL, it would be for a few…

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