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Results tagged with graph-neural-network
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user 406197
Graph neural networks are a class of neural networks which are designed to operate on graph structured data. They typically make use of graph convolution layers, a generalization of the usual "lattice" convolutions used in CNNs.
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Does a model learn the same attention scores when retrained?
As in the title, should I expect a model to learn almost the same attention scores in its attention layers when I train it? Perhaps only in the first one if there are multiple such layers?
It feels in …
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