Introduction to Graph Convolutions

Some introductory material for GraphNNs as sequential notebooks. The rendered output are available as PDFs in the releases page and the raw notebooks are in the notebooks directory (or follow the links below).

Notebooks

Basic Graph and Convolutions

Simple examples of graphs and convolutions across them with the outputs shown at every step

From MNIST to Graphs

The introduction to the MNIST digit classification toy problem and its adaptation for graphs.

GCN on Disjoint Graphs

A real GCN-based problem for classifying digits using just the graph structure of the non-zero pixels.

GCN with XY positions

A real GCN-based problem for classifying digits using just the graph structure of the non-zero pixels.