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What's the difference between a "Graph Neural Network" and a deep neural network?



Graph neural networks are deep learning models that trained on graph data.


Do you have any resources where I could learn more about these networks?


See for instance the pytorch geometric [1] package, which is the main implementation in pytorch. They also link to some papers there that might explain you more.

[1] https://pytorch-geometric.readthedocs.io/en/latest/




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