Graph Convolution

Outline

1. Graph Convolution Basics Applied to Molecules

2. Using MolGraph

Videos

The general ideas behind convolution can also be applied to images as discussed here

Ideas for further coding projects 

• coming soon

Inspiration/Further Reading

https://victorzhou.com/blog/intro-to-cnns-part-1/

https://victorzhou.com/blog/intro-to-cnns-part-2/

https://victorzhou.com/blog/keras-cnn-tutorial/

https://towardsdatascience.com/how-to-do-deep-learning-on-graphs-with-graph-convolutional-networks-7d2250723780

https://towardsdatascience.com/how-to-do-deep-learning-on-graphs-with-graph-convolutional-networks-62acf5b143d0

https://iwatobipen.wordpress.com/2019/04/05/make-graph-convolution-model-with-geometric-deep-learning-extension-library-for-pytorch-rdkit-chemoinformatics-pytorch/

https://arxiv.org/pdf/1609.02907.pdf

https://tkipf.github.io/graph-convolutional-networks/

https://www.youtube.com/watch?v=LFSR27BaNIQ

https://www.youtube.com/watch?v=0_O8PdZBc5s (talk by Welling)