Before revision:  After obtaining the clustering assignments of the selected nodes, a classifier is trained using these selected nodes and the final clustering assignments for all the nodes can be obtained by this classifier . Experiments on three benchmark graph datasets demonstrate the superiority compared with several state-of-the-art algorithms.
After revision:  Finally, to obtain the clustering assignment of all nodes, a classifier is trained using these selected nodes and the final clustering assignments for all the nodes can be obtained by this classifier . Experiments on three benchmark graph datasets demonstrate the superiority compared with several state-of-the-art algorithms.