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» Towards Graph Containment Search and Indexing
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VLDB
2007
ACM
155views Database» more  VLDB 2007»
14 years 4 months ago
Towards Graph Containment Search and Indexing
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g D such that q contains g (q g). Due to the wide adoption of graph models, f...
Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, D...
EDBT
2009
ACM
277views Database» more  EDBT 2009»
13 years 9 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...
ICDE
2010
IEEE
248views Database» more  ICDE 2010»
14 years 4 months ago
Similarity Search on Supergraph Containment
A supergraph containment search is to retrieve the data graphs contained by a query graph. In this paper, we study the problem of efficiently retrieving all data graphs approximate...
Haichuan Shang, Ke Zhu, Xuemin Lin, Ying Zhang, Ry...
SSDBM
2010
IEEE
133views Database» more  SSDBM 2010»
13 years 2 months ago
PrefIndex: An Efficient Supergraph Containment Search Technique
Graphs are prevailingly used in many applications to model complex data structures. In this paper, we study the problem of supergraph containment search. To avoid the NP-complete s...
Gaoping Zhu, Xuemin Lin, Wenjie Zhang, Wei Wang, H...
SIGMOD
2007
ACM
232views Database» more  SIGMOD 2007»
14 years 4 months ago
BLINKS: ranked keyword searches on graphs
Query processing over graph-structured data is enjoying a growing number of applications. Keyword search on a graph finds a set of answers, each of which is a substructure of the ...
Haixun Wang, Hao He, Jun Yang 0001, Philip S. Yu