Holger Heidrich

NetGAN without GAN: From Random Walks to Low-Rank Approximations

A graph generative model takes a graph as input and is supposed to generate new graphs that “look like” the input graph. While most classical models focus on few, hand-selected graph statistics and are too simplistic to reproduce real-world graphs, NetGAN recently emerged as an attractive alternativ…