5.00
(1 Rating)

Introduction to Graph Neural Networks

By Aiswarya Nandakumar Categories: Lectures
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About Course

Course Structure: Self Paced

What Will You Learn?

  • Introduction to Graph Neural Networks is a beginner-focussed, comprehensive lecture series on GNNs. The fundamental concepts, applications, and implementation techniques are covered. The goal of the course is to take you to a level where you will feel comfortable applying GNNs for your research problems.
  • Understand the basic principles of graph theory, types of GNNs, and mathematical formulations of temporal dynamics in graphs.

Course Content

Graph Neural Networks Introduction

  • Introduction to Graph Neural Networks
    07:06

GNN basics: Nodes, edges, adjacency matrix

Coding a GNN from scratch

Temporal Graph Networks from scratch

Graph Convolutional Neural Network

GCNN numericals

Lecture slides

Code files

GNN Research Papers
Relevant GNN research papers that will give you an idea about using GNNs for amazing applications.

Student Ratings & Reviews

5.0
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VH
Vidyashree HR
1 year ago
Good experience. Thank you Aishwarya 🙏

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