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README.md

Geometric Deep Learning models

This example shows how to use geometric deep learning models defined in dgl.nn.pytorch.conv for
graph classification.

Currently we support following models:

Image Classification on MNIST

By transforming images to graphs, graph classifcation algorithms could
be applied to image classification problems.

Usage

python mnist.py --model cheb --gpu 0
python mnist.py --model monet --gpu 0

Acknowledgement

We thank Xavier Bresson for providing
code for graph coarsening algorithm and grid graph building in
CE7454_2019 Labs.

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