Title :
Exploring research issues over large graphs
Author_Institution :
Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, China
Abstract :
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. In this talk, we explore several research issues over large graphs.We introduce some research problems to be discussed: large graphs matching, graph clustering over attribute graphs, scalable diversified ranking, and top-k structural similarity search.
Keywords :
Approximation algorithms; Bioinformatics; Clustering algorithms; Filtering algorithms; Genomics; Matched filters; Object recognition;
Conference_Titel :
Granular Computing (GrC), 2012 IEEE International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4673-2310-9
DOI :
10.1109/GrC.2012.6468709
