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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 91–100 of 208 papers

TitleStatusHype
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model—0
A Performance Guarantee for Spectral Clustering—0
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach—0
Generalized Spectral Clustering for Directed and Undirected Graphs—0
Flow-Based Algorithms for Local Graph Clustering—0
Consistency of Spectral Hypergraph Partitioning under Planted Partition Model—0
Fine-Grained Bipartite Concept Factorization for Clustering—0
Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles—0
FGPGA: An Efficient Genetic Approach for Producing Feasible Graph Partitions—0
Compassionately Conservative Balanced Cuts for Image Segmentation—0
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