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Graph distances in the streaming model: the value of space
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Streaming algorithm for graph spanners---single pass and constant processing time per edge
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Graph Sparsification in the Semi-streaming Model
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New streaming algorithms for counting triangles in graphs
COCOON'05 Proceedings of the 11th annual international conference on Computing and Combinatorics
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Streaming and fully dynamic centralized algorithms for constructing and maintaining sparse spanners
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Streaming graph partitioning for large distributed graphs
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We show that the exact computation of a minimum or a maximum cut of a given graph G is out of reach for any one-pass streaming algorithm, that is, for any algorithm that runs over the input stream of G's edges only once and has a working memory of o(n^2) bits. This holds even if randomization is allowed.