VGAER: graph neural network reconstruction based community detection. (arXiv:2201.04066v1 [cs.SI])

Community detection is a fundamental and important issue in network science,
but there are only a few community detection algorithms based on graph neural
networks, among which unsupervised algorithms are almost blank. By fusing the
high-order modularity information with network features, this paper proposes a
Variational Graph AutoEncoder Reconstruction based community detection VGAER
for the first time, and gives its non-probabilistic version. They do not need
any prior information. We have carefully designed corresponding input features,
decoder, and downstream tasks …

arxiv community detection graph network neural network