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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 151–175 of 208 papers

TitleStatusHype
From Text to Topics in Healthcare Records: An Unsupervised Graph Partitioning Methodology—0
Recent Progress on Graph Partitioning Problems Using Evolutionary Computation—0
Compassionately Conservative Balanced Cuts for Image Segmentation—0
Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks—0
Joint Optimization of Scheduling and Routing in Multicast Wireless Ad-Hoc Network Using Soft Graph Coloring and Non-linear Cubic Games—0
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep LearningCode0
Kernel k-Groups via Hartigan's Method—0
Evolutionary Acyclic Graph Partitioning—0
On the definition of Shape Parts: a Dominant Sets Approach—0
Preconditioned Spectral Clustering for Stochastic Block Partition Streaming Graph Challenge—0
Ego-splitting Framework: from Non-Overlapping to Overlapping ClustersCode0
On Hash-Based Work Distribution Methods for Parallel Best-First Search—0
Graph Partitioning with Acyclicity Constraints—0
Revisiting Graph Construction for Fast Image Segmentation—0
3D Cell Nuclei Segmentation with Balanced Graph Partitioning—0
Engineering a direct k-way Hypergraph Partitioning Algorithm—0
Improving Coarsening Schemes for Hypergraph Partitioning by Exploiting Community StructureCode0
A new cut-based genetic algorithm for graph partitioning applied to cell formation—0
The Product CutCode0
Recursive Decomposition for Nonconvex Optimization—0
Hierarchical Clustering via Spreading Metrics—0
Clustering and Community Detection with Imbalanced Clusters—0
Network Maximal Correlation—0
Improved Image Boundaries for Better Video Segmentation—0
Data Clustering and Graph Partitioning via Simulated Mixing—0
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