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geometric

and

Steve

[Misc] Black auto fix. (dmlc#4652 )

Sep 28, 2022

0b9df9d · Sep 28, 2022

This branch is 1690 commits behind dmlc/dgl:master.

Name		Name	Last commit message	Last commit date
parent directory ..
.gitignore		.gitignore	[NN] nn modules & examples update (dmlc#890 )	Nov 3, 2019
README.md		README.md	[NN] nn modules & examples update (dmlc#890 )	Nov 3, 2019
coarsening.py		coarsening.py	[Misc] Black auto fix. (dmlc#4652 )	Sep 28, 2022
coordinate.py		coordinate.py	[Misc] Black auto fix. (dmlc#4652 )	Sep 28, 2022
grid_graph.py		grid_graph.py	[Misc] Black auto fix. (dmlc#4652 )	Sep 28, 2022
mnist.py		mnist.py	[Misc] Black auto fix. (dmlc#4652 )	Sep 28, 2022

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.