[ESWA 119775] A novel network core structure extraction algorithm utilized variational autoencoder for community detection

We use two example datasets, karate and dolphins, where the csv file with "adj" represents the adjacency matrix and the csv file with "real" represents the real community division of each node, which can be directly used as input to the CSEA algorithm.