1082 search results - page 24 / 217 » Graph Mining using Graph Pattern Profiles |
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
174
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ICDE
2004
IEEE
15 years 10 months ago
2004
IEEE
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
KDD
2006
ACM
15 years 9 months ago
2006
ACM
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
102
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PKDD
2000
Springer
15 years 1 months ago
2000
Springer
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
SIGMOD
2004
ACM
15 years 9 months ago
2004
ACM
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...