Exploring research issues over large graphs
Jeffrey Xu Yu · 2012
Graph has been widely used as a data structure to abstract complex relationships among entities in a form on which algorithms are designed and systems are developed to maintain information, understand the complex relationships, and discovery knowledge. The paper explores several research issues over large graphs. It introduce some research problems to be discussed: large graphs matching, graph clustering over attribute graphs, scalable diversified ranking, and top-k structural similarity search.