Learning-Pytorch-Geometric

Introduction

This repository is mainly a collection of some simple examples of learning PyG, with detailed procedures, from data loading, to model building, to training, forecasting, and visualization.

And other demo about ML, such as PCA

It can be run directly in Google Colab.

Main Content

• [x] Visualization of graph data

• [x] Spectral clustering

  

• [x] Graph Convolution for Semi-supervised Clustering of Karate Datasets From [Semi-Supervised Classification with Graph Convolutional Networks (ICLR 2017)]

  

• [x] SAGE_Conv

• [x] pytorch_geometric_Message_Passing_test

• [ ] PointNet