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KDD
2007
ACM
227views Data Mining» more  KDD 2007»
14 years 5 months ago
Fast best-effort pattern matching in large attributed graphs
We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person's job title. In such a setting, we want to find s...
Hanghang Tong, Christos Faloutsos, Brian Gallagher...
CVPR
2010
IEEE
13 years 2 months ago
Common visual pattern discovery via spatially coherent correspondences
We investigate how to discover all common visual patterns within two sets of feature points. Common visual patterns generally share similar local features as well as similar spati...
Hairong Liu, Shuicheng Yan
ICDE
2008
IEEE
159views Database» more  ICDE 2008»
14 years 6 months ago
Fast Graph Pattern Matching
Due to rapid growth of the Internet technology and new scientific/technological advances, the number of applications that model data as graphs increases, because graphs have high e...
Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding, Philip S...
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 5 months ago
GraphScope: parameter-free mining of large time-evolving graphs
How can we find communities in dynamic networks of social interactions, such as who calls whom, who emails whom, or who sells to whom? How can we spot discontinuity timepoints in ...
Jimeng Sun, Christos Faloutsos, Spiros Papadimitri...
CIKM
2010
Springer
12 years 12 months ago
Mining networks with shared items
Recent advances in data processing have enabled the generation of large and complex graphs. Many researchers have developed techniques to investigate informative structures within...
Jun Sese, Mio Seki, Mutsumi Fukuzaki