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graph partitioning

Graph Partitioning is generally the first step of distributed graph computing tasks. The targets are load-balance and minimizing the communication volume.

Papers

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Showing 181–190 of 208 papers

TitleStatusHype
Consistency of Spectral Hypergraph Partitioning under Planted Partition Model—0
Incorporating Road Networks into Territory Design—0
Graph Partitioning for Independent Sets—0
Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance—0
Cross-Document Co-Reference Resolution using Sample-Based Clustering with Knowledge Enrichment—0
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis—0
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model—0
FGPGA: An Efficient Genetic Approach for Producing Feasible Graph Partitions—0
Stochastic Blockmodeling for Online Advertising—0
Similarity-Driven Semantic Role Induction via Graph Partitioning—0
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