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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 111–120 of 208 papers

TitleStatusHype
Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles—0
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs—0
Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning—0
Joint Semantic Instance Segmentation on Graphs with the Semantic Mutex Watershed—0
Accurate and versatile 3D segmentation of plant tissues at cellular resolutionCode1
A Performance Guarantee for Spectral Clustering—0
Graph Neural Network Based Coarse-Grained Mapping PredictionCode1
Generalized Spectral Clustering via Gromov-Wasserstein LearningCode1
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation—0
Deep Affinity Net: Instance Segmentation via Affinity—0
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