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:

Table of Contents

 About This Book

 Deep Playground for Classical Neural Networks

 Building Neural Networks with Python

 Simple Example of Neural Networks

 TensorFlow - Machine Learning Platform

 PyTorch - Machine Learning Platform

 Gradio - ML Demo Platform

 CNN (Convolutional Neural Network)

 RNN (Recurrent Neural Network)

GNN (Graph Neural Network)

 GAN (Generative Adversarial Network)

 Performance Evaluation Metrics

 References

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