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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 181–190 of 208 papers

TitleStatusHype
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex HullsCode0
BClean: A Bayesian Data Cleaning SystemCode0
Leveraging Domain Knowledge to Improve Microscopy Image Segmentation with Lifted MulticutsCode0
Local Motif Clustering via (Hyper)Graph PartitioningCode0
Scalable Gromov-Wasserstein Learning for Graph Partitioning and MatchingCode0
A 3D Convolutional Approach to Spectral Object Segmentation in Space and TimeCode0
GAP: Generalizable Approximate Graph Partitioning FrameworkCode0
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement LearningCode0
Random Projection Forest Initialization for Graph Convolutional NetworksCode0
Demystifying Distributed Training of Graph Neural Networks for Link PredictionCode0
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