Semantic proximity search on graphs with metagraph-based learning

• Main Authors: FANG, Yuan, LIN, Wenqing, ZHENG, Vincent W., WU, Min, CHANG, Kevin Chen-Chuan, LI, Xiao-Li
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Graphic methods; Semantics; Social networking (online); Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4060; https://ink.library.smu.edu.sg/context/sis_research/article/5063/viewcontent/Semantic_proximity_metagraph_icde2016.pdf
• Institution: Singapore Management University

Given ubiquitous graph data such as the Web and social networks, proximity search on graphs has been an active research topic. The task boils down to measuring the proximity between two nodes on a graph. Although most earlier studies deal with homogeneous or bipartite graphs only, many real-world gr...