Before revision:  The key idea is to integrate the sampling theory and embedding methods by a pipeline form, which has the following advantages: 1) the sampled training data can maintain more accurate graph characteristics than uniformly chosen data, which eliminates the model deviation ;
After revision:  The key idea is to integrate the sampling theory and embedding methods by a pipeline form, which has the following advantages: 1) the adaptive sampling strategy largely suppresses the GCN training deviation over uniform sampling ;