This move is to force more people to change gpus , because many people dont, and not because they dont want to, but because of very luckluster performance gains per dollar.
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Thus, we need to normalize these vectors to get rid of the potential issues.
Also, remember we asked you to remember one thing? Similar to euclidean data like images, the convolution framework here aims to capture neighbourhood information for non-euclidean spaces like graph nodes.
sum A , 1 self.
Then, we pass the resulting feature vectors through a neural network for training.