**Neural Network Tutorials - Herong's Tutorial Examples** - 1.20, by Dr. Herong Yang

GNN (Graph Neural Network)

This chapter provides introductions and tutorials on GNN (Graph Neural Network). Topics include introduction to the classical GNN model; 'gnn' - GNN Python library by Matteo; matrix-based implementation of GNN; 'gnn' demo in IPython Notebook by Yuyu Yan.

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What Is GNN (Graph Neural Network)

"gnn" - GNN Python Library by Matteo

GNN_simplepy - Simple "gnn" Tutorial

Matrix-Based Implementation in "gnn"

Walk-Through GNN_simplepy Example Code

Walk-Through Net_Simplepy Example Code

"gnn" Demo in IPython Notebook

Walk-Through "gnn" Demo Code

Takeaways:

- GNN (Graph Neural Network) is a type of neural networks that can directly take graphs as input samples.
- "Graph Neural Network model - GNN" by Matteo Tiezzi provides a good example GNN machine learning models.
- The "Graph Neural Network Model Demo" by Yuyu Yan provides another good example of GNN machine learning models.

Table of Contents

Deep Playground for Classical Neural Networks

Building Neural Networks with Python

Simple Example of Neural Networks

TensorFlow - Machine Learning Platform

PyTorch - Machine Learning Platform

CNN (Convolutional Neural Network)