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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 191–200 of 208 papers

TitleStatusHype
Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering—0
Edge-set reduction to efficiently solve the graph partitioning problem with the genetic algorithm—0
Initialization for Network Embedding: A Graph Partition Approach—0
Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints—0
Efficient Video Segmentation Using Parametric Graph Partitioning—0
_2-norm Flow Diffusion in Near-Linear Time—0
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware—0
Engineering a direct k-way Hypergraph Partitioning Algorithm—0
Evolutionary Acyclic Graph Partitioning—0
Fair and skill-diverse student group formation via constrained k-way graph partitioning—0
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