# PytorchGeometricTutorial

**Repository Path**: handsomewu666/PytorchGeometricTutorial

## Basic Information

- **Project Name**: PytorchGeometricTutorial
- **Description**: 关于Pytorc-Geometric库图神经网络的开源学习资料，只在github上有，但是github经常挂掉，故备份一份到gitee
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 2
- **Created**: 2021-09-14
- **Last Updated**: 2022-04-01

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PytorchGeometricTutorial
Hi! We are Antonio Longa and Giovanni Pellegrini, PhD students, and PhD Gabriele Santin, researcher, working between Fondazione Bruno Kessler and the University of Trento, Italy.

This project aims to present through a series of tutorials various techniques in the field of Geometric Deep
Learning, focusing on how they work and how to implement them using the [Pytorch geometric](https://github.com/rusty1s/pytorch_geometric)
library, an extension to Pytorch to deal with graphs and structured data,
developed by [@rusty1s](https://github.com/rusty1s).

You can find our video tutorials on [Youtube](https://www.youtube.com/user/94longa2112/featured) and at our official website [here.](https://antoniolonga.github.io/Pytorch_geometric_tutorials/index.html)

Feel free to join our weekly online tutorial! For more details, have a look at the  [official website.](https://antoniolonga.github.io/Pytorch_geometric_tutorials/index.html)

### Tutorials:

* Tutorial1: [What is Geometric Deep Learning?](https://youtu.be/JtDgmmQ60x8) 

* Tutorial2: [PyTorch basics.](https://youtu.be/UHrhp2l_knU)

* Tutorial3: [Graph Attention Network GAT.](https://youtu.be/CwsPoa7z2c8)

* Tutorial4: [Convolutional Layers - Spectral methods.](https://youtu.be/Ghw-fp_2HFM)

* Tutorial5: [Aggregation Functions in GNNs.](https://youtu.be/tGXovxQ7hKU)

* Tutorial6: [Graph Autoencoders and Variational Graph Autoencoders.](https://youtu.be/qA6U4nIK62E)

* Tutorial7: [Adversarially regularized GAE and VGAE.](https://youtu.be/hZkLu2OaHD0)

* Tutorial8: [Graph Generation.](https://youtu.be/embpBq1gHAE)

* Tutorial9: [Recurrent Graph Neural Networks.](https://youtu.be/v7TQ2DUoaBY)

* Tutorial10: [DeepWalk and Node2Vec (Theory).](https://youtu.be/QZQBnl1QbCQ)

* Tutorial11: [DeepWalk and Node2Vec (Practice).](https://youtu.be/5YOcpI3dB7I)

* Tutorial12: [Edge analysis.](https://youtu.be/m1G7oS9hmwE)

* Tutorial13: [Metapath2vec.](https://youtu.be/GtPoGehuKYY)

* Tutorial14: [Data handling in Pyg (part 1)](https://youtu.be/Vz5bT8Xw6Dc)

* Tutorial15: [Data handling in Pyg (part 2)](https://youtu.be/Q5T-JdyVCfs)

* Tutorial16: [Special guest talk - Matthias Fey](https://youtu.be/MA6VH7Vwtb4)