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» Testing subgraphs in large graphs
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PVLDB
2010
129views more  PVLDB 2010»
13 years 6 months ago
iGraph: A Framework for Comparisons of Disk-Based Graph Indexing Techniques
Graphs are of growing importance in modeling complex structures such as chemical compounds, proteins, images, and program dependence. Given a query graph Q, the subgraph isomorphi...
Wook-Shin Han, Jinsoo Lee, Minh-Duc Pham, Jeffrey ...
PVLDB
2010
200views more  PVLDB 2010»
13 years 6 months ago
SAPPER: Subgraph Indexing and Approximate Matching in Large Graphs
With the emergence of new applications, e.g., computational biology, new software engineering techniques, social networks, etc., more data is in the form of graphs. Locating occur...
Shijie Zhang, Jiong Yang, Wei Jin
ISSTA
2009
ACM
14 years 2 months ago
Identifying bug signatures using discriminative graph mining
Bug localization has attracted a lot of attention recently. Most existing methods focus on pinpointing a single statement or function call which is very likely to contain bugs. Al...
Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xif...
VLDB
2005
ACM
177views Database» more  VLDB 2005»
14 years 1 months ago
Discovering Large Dense Subgraphs in Massive Graphs
We present a new algorithm for finding large, dense subgraphs in massive graphs. Our algorithm is based on a recursive application of fingerprinting via shingles, and is extreme...
David Gibson, Ravi Kumar, Andrew Tomkins
ICASSP
2010
IEEE
13 years 8 months ago
Toward signal processing theory for graphs and non-Euclidean data
Graphs are canonical examples of high-dimensional non-Euclidean data sets, and are emerging as a common data structure in many fields. While there are many algorithms to analyze ...
Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wol...