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WAIM
2010
Springer
14 years 8 months ago
A Model for Automatic Generation of Multi-partite Graphs from Arbitrary Data
In this paper we propose a generic model to generate basic multi-partite graphs obtained by associations found in arbitrary data. The interest of such a model is to be the formal ...
Ricardo A. Baeza-Yates, Nieves R. Brisaboa, Josep-...
ALENEX
2003
137views Algorithms» more  ALENEX 2003»
14 years 11 months ago
The Markov Chain Simulation Method for Generating Connected Power Law Random Graphs
Graph models for real-world complex networks such as the Internet, the WWW and biological networks are necessary for analytic and simulation-based studies of network protocols, al...
Christos Gkantsidis, Milena Mihail, Ellen W. Zegur...
ACSAC
2006
IEEE
15 years 3 months ago
Practical Attack Graph Generation for Network Defense
Attack graphs are a valuable tool to network defenders, illustrating paths an attacker can use to gain access to a targeted network. Defenders can then focus their efforts on patc...
Kyle Ingols, Richard Lippmann, Keith Piwowarski
TKDE
2012
207views Formal Methods» more  TKDE 2012»
13 years 1 days ago
Mining Web Graphs for Recommendations
—As the exponential explosion of various contents generated on the Web, Recommendation techniques have become increasingly indispensable. Innumerable different kinds of recommend...
Hao Ma, Irwin King, Michael R. Lyu
ICCV
2007
IEEE
15 years 11 months ago
A Symmetry-Based Generative Model for Shape
We propose a novel generative language for shape that is based on the shock graph: given a shock graph topology, we explore constraints on the geometry and dynamics of the shock g...
Nhon H. Trinh, Benjamin B. Kimia