I was wondering whether there are auto-encoders in which the decoder creates graphs from a single vector in latent space?
I would like to train a model from which generates a graph from a predefined sequence. That is why I care mostly about the decoder
Many simple variational autoencoders seem to use a 2d tensor in the latent space, from which the graph is reconstructed.
However, are there possibilities to generate graphs from a 1d tensor?