Title
Efficient Subgraph Skyline Search Over Large Graphs
Abstract
Subgraph search is very useful in many real-world applications. However, users may be overwhelmed by the masses of matches. In this paper, we propose subgraph skyline search problem, denoted as S3, to support more complicated analysis over graph data. Specifically, given a large graph G and a query graph q, we want to find all the subgraphs g in G, such that g is graph isomorphic to q and not dominated by any other subgraphs. In order to improve the efficiency, we devise a hybrid feature encoding incorporating both structural and numeric features. Moreover, we present some optimizations based on partitioning strategy. We also propose a skylayer index to facilitate the dynamic subgraph skyline computation. Extensive experiments over real dataset confirm the effectiveness and efficiency of our algorithm.
Year
DOI
Venue
2014
10.1145/2661829.2662037
CIKM
Keywords
Field
DocType
database applications,feature encoding,skylayer,subgraph skyline
Data mining,Line graph,Forbidden graph characterization,Graph factorization,Computer science,Induced subgraph isomorphism problem,Distance-hereditary graph,Factor-critical graph,Universal graph,Subgraph isomorphism problem
Conference
Citations 
PageRank 
References 
7
0.47
26
Authors
5
Name
Order
Citations
PageRank
Weiguo Zheng120516.87
Lei Zou2116168.43
Xiang Lian3355.25
Liang Hong419333.79
Dongyan Zhao599896.35