HKUST Library Institutional Repository Banner

HKUST Institutional Repository >
Computer Science and Engineering >
CSE Conference Papers >

Please use this identifier to cite or link to this item:
Title: Continuous subgraph pattern search over graph streams
Authors: Wang, Changliang
Chen, Lei
Keywords: NP-completeness
Continuous subgraph pattern search
Graph databases
Graph streams
Issue Date: Apr-2009
Citation: Proceedings 25th IEEE International Conference on Data Engineering (ICDE 2009), Shanghai, China, 29 March-April 2 2009, p. 393-404
Abstract: Search over graph databases has attracted much attention recently due to its usefulness in many fields, such as the analysis of chemical compounds, intrusion detection in network traffic data, and pattern matching over users’ visiting logs. However, most of the existing work focuses on search over static graph databases while in many real applications graphs are changing over time. In this paper we investigate a new problem on continuous subgraph pattern search under the situation where multiple target graphs are constantly changing in a stream style, namely the subgraph pattern search over graph streams. Obviously the proposed problem is a continuous join between query patterns and graph streams where the join predicate is the existence of subgraph isomorphism. Due to the NP-completeness of subgraph isomorphism checking, to achieve the real time monitoring of the existence of certain subgraph patterns, we would like to avoid using subgraph isomorphism verification to find the exact query-stream subgraph isomorphic pairs but to offer an approximate answer that could report all probable pairs without missing any of the actual answer pairs. In this paper we propose a light-weight yet effective feature structure called Node-Neighbor Tree to filter false candidate query-stream pairs. To reduce the computational cost, we further project the feature structures into a numerical vector space and conduct dominant relationship checking in the projected space. We propose two methods to efficiently check dominant relationships and substantiate our methods with extensive experiments.
Rights: © 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Appears in Collections:CSE Conference Papers

Files in This Item:

File Description SizeFormat
conti.pdf340KbAdobe PDFView/Open

All items in this Repository are protected by copyright, with all rights reserved.