Previous work for text summarization in scientific domain mainly focused on the content of input document, but seldom considering its citation network. However, papers are full uncommon domain-specific terms, making it almost impossible model to understand true meaning without help relevant research community. In this paper, we redefine task by utilizing their graph and propose a graph-based CG...