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» Graph Mining using Graph Pattern Profiles
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OOPSLA
1999
Springer
15 years 6 months ago
The Generic Graph Component Library
In this paper we present the Generic Graph Component Library (GGCL), a generic programming framework for graph data structures and graph algorithms. Following the theme of the Sta...
Lie-Quan Lee, Jeremy G. Siek, Andrew Lumsdaine
128
Voted
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
15 years 23 days ago
Finding effectors in social networks
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
Theodoros Lappas, Evimaria Terzi, Dimitrios Gunopu...
PAKDD
2011
ACM
209views Data Mining» more  PAKDD 2011»
14 years 5 months ago
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation
Abstract. Given a graph with billions of nodes and edges, how can we find patterns and anomalies? Are there nodes that participate in too many or too few triangles? Are there clos...
U. Kang, Brendan Meeder, Christos Faloutsos
ICDM
2006
IEEE
296views Data Mining» more  ICDM 2006»
15 years 8 months ago
Fast Random Walk with Restart and Its Applications
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance scor...
Hanghang Tong, Christos Faloutsos, Jia-Yu Pan
WCRE
2002
IEEE
15 years 7 months ago
A Methodology for Developing Transformations Using the Maintainability Soft-Goal Graph
Over the past few years, we are experiencing a surge of evolution problems related to legacy object-oriented systems. Object orientation provides means for systems to be well-desi...
Ladan Tahvildari, Kostas Kontogiannis