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Balanced label propagation for partitioning massive graphs

WSDM, pp.507-516, (2013)

Cited by: 202|Views191
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Abstract

Partitioning graphs at scale is a key challenge for any application that involves distributing a graph across disks, machines, or data centers. Graph partitioning is a very well studied problem with a rich literature, but existing algorithms typically can not scale to billions of edges, or can not provide guarantees about partition sizes....More

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