[–] Phait link

Glad you like it. Now go and build crazy stuff!

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[–] mfazalul link

As soon as I saw the title, my reaction was "YESSSS!"... A while ago, I was looking for something like this, but I soon realized that deep learning on graphs is still comparatively new, and not many python modules exist for it.

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[–] JoeDaDude link

I'd love to tinker with this. What is a classic problem or demo for graph neural networks? Is there an equivalent to the MNIST problem for GNNs that would make a good learning exercise?

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[–] mfazalul link

The official docs have some of the details: https://danielegrattarola.github.io/spektral/data/

More about Graph NNs: https://arxiv.org/pdf/1812.08434.pdf

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[–] syntaxing link

Thank you!!

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[–] sjg007 link

Vectorize the adjacency matrix.

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[–] syntaxing link

How is the data fed into the model? Are the graphs represented by a dictionary or an adjacency matrix (or neither)? Does anyone have more links I can read more about graph based deep learning?

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[–] helloiloveyou link

YEEES I will finally be able to complete a college assignment that I postponed

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