Thanky you for your answer.
I already implemented a Conditional GAN for normal MNIST. For the Generator I concat the noise with the label as one-hot vectors. That works very well.
My current project is a GAN with a kind of Graph-CNNs, which should generate MNIST-Superpixel-Graphs.
My problem is, I can’t imagine how I connect my input for the Generator and the Discriminator with the context.
Actually I try to implement a working Generator for MNIST-Superpixel-Graphs. This is still a problem, too.