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Description

Graph Neural Network The Graph Neural Network training course, which covers graph representation to complete mastery of the introductory level of GNN, is published by the popular Udemy Academy. In recent years, the graph neural network (GNN) has gained increasing popularity in various fields due to its high expressive power and excellent performance. Graph structures allow us to capture data with complex structures and relationships, and GNN provides us with the opportunity to study and model this complex data representation for tasks such as classification, clustering, link prediction, and robust representation. Considering that this is a relatively new concept and it will be hard to learn from conferences and articles, this course can help you.

This course provides complete introductory material for learning graph neural network, and by completing this course, you will have a good understanding of the subject in theory and in practice. In this training course, you will be taught both mathematical topics and how to code them in the Python programming language. Now if you want to start learning about Graph Neural Networks (GNN) and implementing GNN models in PyTorch Geometric; This course will be suitable for you and you can download and watch it from the Downloadly site.

Who is this course suitable for:

  • Graduate students in engineering
  • Graduate students in Computer Science
  • Data Scientists
  • Python developers are interested in learning the graph neural network
  • Deep learning engineers
  • Machine learning engineers
  • Signal processing engineers
  • People eager to learn neural network

What you will learn in the Graph Neural Network course:

  • Chart display
  • Neural network diagram (GNN)
  • Chart analysis
  • DeepWalk
  • Node2Vec
  • Grid complexity diagram (GCN)
  • Grid note chart (GAT)
  • Simplifying Graph Convolution (SGC)
  • Pytorch Geometric
  • And …

Specifications of Graph Neural Network :

Publisher: Udemy
Teacher: Younes Sadat-Nejad
Language: English
Training level: Intermediate
Number of Lessons: 26
Duration: 4 hours and 29 minutes

Graph Neural Network course topics:

Graph Neural Network

Requirements:

  • Introductory background on machine learning and deep learning
  • Introductory background on signal processing and data analysis
  • Algebra
  • Python

Pictures

Graph Neural Network

Graph Neural (GNN) course introduction video:

Installation guide

After extract, view with the required player.
English subtitle
Quality: 720p

Download link

Download Part 1 – 1 GB

Download Part 2 – 783 MB

File(s) password: www.downloadly.ir

Size

1.78 GB

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