Deep Learning for Graph

This site is dedicated to the simplest video tutorials on Deep Learning for Graph. I have used my knowledge and experience to prepare these tutorials. All feedback and suggestions are welcome (email me at nirajrkumar@gmail.com or nirajrkumar@yahoo.com).

As, scientific development is an endless process, so I will keep updating it. Clicking on the link will drive you to the YouTube page for related content. Or You can use the link: https://www.youtube.com/c/DrNirajRKumar

  1. Graph Neural Networks.

Content:

  • Part-1
  • Why Graph Neural Networks??
  • Limitations of Traditional Deep Neural Network Architectures.
  • Part-2
  • Basic Architecture of Graph Neural Networks.
  • Neighborhood Aggregation.
  • Uses of Graph Neural Networks.

Video Link:

  1. Static Vs Dynamic Graph Neural Networks.

Content:

  • Deep Learning using Static Graph
  • Graph Neural Network (GNN) Vs Graph Convolutional Neural Networks (GCN)
  • What is Dynamic Graph?

Video Link:

  1. Graph Attention Networks, Multi-Head Attention.

Content:

  • Graph Attention Networks
  • Multi-Head Attention in Graph Networks.
  • Easy Step-by-Step Explanation

Video Link:

  1. Dynamic Graph Neural Networks.

Content:

  • Part-1
  • Transition from Static to Dynamic Graph Neural Networks.
  • Dynamic Graph Neural Network
  • Temporal Graph Networks.
  • Deep Learning for Dynamic Temporal Graph Networks
  • Part-2.
  • Deep Learning for Dynamic Temporal Graph Networks.
  • Temporal Graph Embeddings.
  • Temporal Graph Attention.

Video Link: