Graph partition method based on finite projective planes
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sqrtgraphpartitionalgorithmapproachesbetterboundconstrained
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We present a novel graph partition algorithm with a theoretical bound for the replication factor of \sqrt(n), which improves known constrained approaches (grid: 2* \sqrt(n)-1, torus: 1.5*\sqrt(n)+1) and provides better performance
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Cited by 1 Pith paper
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Fundamental Limits of Hypergraph Edge Partitioning under Independent Edge Sampling
The minimal achievable vertex footprint for hypergraph edge partitioning under independent edge sampling is (1/(2√2)) n / N^{1/d}, with a deterministic partitioner achieving it up to a small constant factor.
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