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VLDB
2005
ACM
177views Database» more  VLDB 2005»
15 years 10 months ago
Discovering Large Dense Subgraphs in Massive Graphs
We present a new algorithm for finding large, dense subgraphs in massive graphs. Our algorithm is based on a recursive application of fingerprinting via shingles, and is extreme...
David Gibson, Ravi Kumar, Andrew Tomkins
154
Voted
WEA
2005
Springer
176views Algorithms» more  WEA 2005»
15 years 10 months ago
High-Performance Algorithm Engineering for Large-Scale Graph Problems and Computational Biology
Abstract. Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on regular applications with high degre...
David A. Bader
147
Voted
ICML
2004
IEEE
16 years 5 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
146
Voted
SPAA
2005
ACM
15 years 10 months ago
The expansion and mixing time of skip graphs with applications
We prove that with high probability a skip graph contains a 4-regular expander as a subgraph, and estimate the quality of the expansion via simulations. As a consequence skip grap...
James Aspnes, Udi Wieder
PVLDB
2010
149views more  PVLDB 2010»
15 years 3 months ago
GRAIL: Scalable Reachability Index for Large Graphs
Given a large directed graph, rapidly answering reachability queries between source and target nodes is an important problem. Existing methods for reachability trade-off indexing ...
Hilmi Yildirim, Vineet Chaoji, Mohammed Javeed Zak...