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» Extremal properties of (1, f)-odd factors in graphs
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CORR
2010
Springer
176views Education» more  CORR 2010»
13 years 7 months ago
A General Framework for Graph Sparsification
Given a weighted graph G and an error parameter > 0, the graph sparsification problem requires sampling edges in G and giving the sampled edges appropriate weights to obtain a...
Ramesh Hariharan, Debmalya Panigrahi
KDD
2006
ACM
157views Data Mining» more  KDD 2006»
14 years 8 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
STOC
2009
ACM
152views Algorithms» more  STOC 2009»
14 years 2 months ago
Green's conjecture and testing linear-invariant properties
A system of linear equations in p unknowns Mx = b is said to have the removal property if every set S ⊆ {1, . . . , n} which contains o(np− ) solutions of Mx = b can be turned...
Asaf Shapira
CORR
2010
Springer
97views Education» more  CORR 2010»
13 years 7 months ago
A Linear-time Algorithm for Sparsification of Unweighted Graphs
Given an undirected graph G and an error parameter > 0, the graph sparsification problem requires sampling edges in G and giving the sampled edges appropriate weights to obtai...
Ramesh Hariharan, Debmalya Panigrahi
DM
2006
144views more  DM 2006»
13 years 7 months ago
On almost self-complementary graphs
A graph is called almost self-complementary if it is isomorphic to one of its almost complements Xc - I, where Xc denotes the complement of X and I a perfect matching (1-factor) i...
Primoz Potocnik, Mateja Sajna