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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 21–30 of 208 papers

TitleStatusHype
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement LearningCode0
FairGP: A Scalable and Fair Graph Transformer Using Graph PartitioningCode0
Approximate spectral clustering with eigenvector selection and self-tuned kCode0
Approximate spectral clustering density-based similarity for noisy datasetsCode0
A random-key GRASP for combinatorial optimizationCode0
Exploring Key Point Analysis with Pairwise Generation and Graph PartitioningCode0
A 3D Convolutional Approach to Spectral Object Segmentation in Space and TimeCode0
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex HullsCode0
Distributed Evolutionary Graph PartitioningCode0
A parameter-free graph reduction for spectral clustering and SpectralNetCode0
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