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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 201–208 of 208 papers

Title	Date	Tasks	Status	Hype
Characterizing and comparing external measures for the assessment of cluster analysis and community detection	Feb 1, 2021	Community Detectiongraph partitioning	CodeCode Available	0
Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting	Sep 24, 2019	graph partitioningManagement	CodeCode Available	0
Neural Improvement Heuristics for Graph Combinatorial Optimization Problems	Jun 1, 2022	Combinatorial OptimizationGraph Neural Network	CodeCode Available	0
NeuroCUT: A Neural Approach for Robust Graph Partitioning	Oct 18, 2023	Graph Neural Networkgraph partitioning	CodeCode Available	0
The Product Cut	Dec 1, 2016	graph partitioning	CodeCode Available	0
Spectral Modification of Graphs for Improved Spectral Clustering	Dec 1, 2019	Clusteringgraph partitioning	CodeCode Available	0
Hierarchical Superpixel Segmentation via Structural Information Theory	Jan 13, 2025	graph constructiongraph partitioning	CodeCode Available	0
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints	Jul 22, 2023	AttributeFairness	CodeCode Available	0

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