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I am trying to understand the following statement taken from the paper Graph Neural Networks: A Review of Methods and Applications (2019).

Standard neural networks like CNNs and RNNs cannot handle the graph input properly in that they stack the feature of nodes by a specific order.

This statement is confusing to me. I have not used CNNs/RNNs for non-Euclidean data before, so perhaps that's where my understanding falls off.

How do CNNs/RNNs stack the feature of nodes by a specific order?

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