dmlc--dgl
9a0511c8e9
* upd * damn it * fuck * fuck pylint * fudge * remove some comments about MXNet * upd * upd * damn it * damn it * fuck * fuck * upd * upd * pylint bastard * upd * upd * upd * upd * upd * upd * upd * upd * upd
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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.