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» Small Alliances in Graphs
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STOC
2003
ACM
188views Algorithms» more  STOC 2003»
14 years 10 months ago
Almost random graphs with simple hash functions
We describe a simple randomized construction for generating pairs of hash functions h1, h2 from a universe U to ranges V = [m] = {0, 1, . . . , m - 1} and W = [m] so that for ever...
Martin Dietzfelbinger, Philipp Woelfel
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
14 years 7 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
ICNP
2009
IEEE
14 years 4 months ago
Scalable IP Lookups using Shape Graphs
—Recently, there has been much renewed interest in developing compact data structures for packet processing functions such as longest prefix-match for IP lookups. This has been ...
Haoyu Song, Murali S. Kodialam, Fang Hao, T. V. La...
ER
2007
Springer
111views Database» more  ER 2007»
14 years 4 months ago
Provability-Based Semantic Interoperability Via Translation Graphs
Provability-based semantic interoperability (PBSI) is a kind of interoperability that transcends mere syntactic translation to allow for robust, meaningful information exchange acr...
Joshua Taylor, Andrew Shilliday, Selmer Bringsjord
WADS
2007
Springer
104views Algorithms» more  WADS 2007»
14 years 4 months ago
Faster Approximation of Distances in Graphs
Let G = (V, E) be an weighted undirected graph on n vertices and m edges, and let dG be its shortest path metric. We present two simple deterministic algorithms for approximating ...
Piotr Berman, Shiva Prasad Kasiviswanathan