These random graphs have the same distribution of differently sized subgraphs as in a given real network. Importantly, the nodes in these subgraphs are labelled by node degrees in the real network.

Although Python is too slow for complex neural networks, it's a good choice for relatively simple problems. Additionally, Python is the language of choice when using neural network code libraries such ...