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FENNEL: streaming graph partitioning for massive scale graphs

WSDM, pp.333-342, (2014)

Cited by: 311|Views182
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Abstract

Balanced graph partitioning in the streaming setting is a key problem to enable scalable and efficient computations on massive graph data such as web graphs, knowledge graphs, and graphs arising in the context of online social networks. Two families of heuristics for graph partitioning in the streaming setting are in wide use: place the n...More

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