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KDD
2005
ACM
157views Data Mining» more  KDD 2005»
16 years 5 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
VLDB
2007
ACM
155views Database» more  VLDB 2007»
16 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...
SIGMOD
2008
ACM
191views Database» more  SIGMOD 2008»
16 years 4 months ago
Efficient aggregation for graph summarization
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Pate...
MLG
2007
Springer
15 years 10 months ago
Learning Graph Matching
As a fundamental problem in pattern recognition, graph matching has found a variety of applications in the field of computer vision. In graph matching, patterns are modeled as gr...
Alex J. Smola
SIGCOMM
2010
ACM
15 years 4 months ago
Unbiased sampling in directed social graph
Microblogging services, such as Twitter, are among the most important online social networks(OSNs). Different from OSNs such as Facebook, the topology of microblogging service is ...
Tianyi Wang, Yang Chen, Zengbin Zhang, Peng Sun, B...