Before revision:  We divided papers into small blocks based on discriminative author attributes and blocks of the same author will be merged according to pairwise classification results of  .  combines heterogeneous graph embedding learning and pairwise similarity learning into a framework.
After revision:  We divided papers into small blocks based on discriminative author attributes and blocks of the same author will be merged according to pairwise classification results of   combines heterogeneous graph embedding learning and pairwise similarity learning into a framework.