Comments (2)
This is due to the difference between generative model and graph translation model. In VAE, the latent space must be a fix-sized vector, while in graph translation model, the input can be a sequence of vectors. The sequence of vectors are fed into decoder attention layer. Note that generative model does not have attention layers.
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Hi. I'm quite confused that it have to be a fix-sized vector because Graph-VAE allows a sequence of vectors for each node in the graph. Could you please explain why generative model can only use a fix-sized vector?
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