"Let's Learn Graph Neural Networks!" is an introductory course to Graph Neural Networks (GNN). GNN is a neural network that incorporates deep learning into the data structure called "graph," composed of nodes and edges.

GNN has been applied in various fields such as recommendation systems, analysis of human relationships, prediction in transportation and logistics, and estimation of physical properties of compounds.

Section 1: Overview of GNN → Learn the overview of GNN and the development environment.

Section 2: Fundamentals of GNN → Learn the mathematical fundamentals of GNN and how to use PyTorch Geometric.

Section 3: Simple GNN → Implement a simple GNN using PyTorch Geometric.

Section 4: Graph Convolutional Networks → Learn about Graph Convolutional Networks (GCN) using Convolutional Neural Networks (CNN).

Section 5: Graph Attention Networks → Learn about Graph Attention Networks (GAT) utilizing "Attention."

Udemy Course: Let's Learn Graph Neural Networks (GNN)!

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