Unsupervised learning for community detection in attributed networks based on graph convolutional network

•Without prior labeling, we propose a sampling model to create a balanced label set.•We integrate this model into an unsupervised framework based on GCN for clustering.•A comparison view is given to evaluate the performance of the proposed method.