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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 81–90 of 208 papers

TitleStatusHype
A Graph-Partitioning Based Continuous Optimization Approach to Semi-supervised Clustering Problems—0
Cross-Document Co-Reference Resolution using Sample-Based Clustering with Knowledge Enrichment—0
COSINE: Compressive Network Embedding on Large-scale Information Networks—0
Correlation clustering with local objectives—0
AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization—0
A Bayesian Approach To Graph Partitioning—0
Content-driven, unsupervised clustering of news articles through multiscale graph partitioning—0
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model—0
A Performance Guarantee for Spectral Clustering—0
Flow-Based Algorithms for Local Graph Clustering—0
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