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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 51–60 of 208 papers

Title	Date	Tasks	Status	Hype	Score
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning	Nov 19, 2019	DecoderDeep Reinforcement Learning	CodeCode Available	0	5
A random-key GRASP for combinatorial optimization	May 29, 2024	Combinatorial OptimizationDecoder	CodeCode Available	0	5
PyTorch-BigGraph: A Large-scale Graph Embedding System	Mar 28, 2019	Graph Embeddinggraph partitioning	CodeCode Available	0	5
BClean: A Bayesian Data Cleaning System	Nov 11, 2023	Bayesian Inferencegraph partitioning	CodeCode Available	0	5
Deep Spectral Improvement for Unsupervised Image Instance Segmentation	Feb 4, 2024	graph partitioningInstance Segmentation	CodeCode Available	0	5
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation	Jul 13, 2022	Collaborative FilteringData Augmentation	CodeCode Available	0	5
Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters	Aug 13, 2017	ClusteringCommunity Detection	CodeCode Available	0	5
Refining a -nearest neighbor graph for a computationally efficient spectral clustering	Feb 6, 2021	ClusteringComputational Efficiency	CodeCode Available	0	5
Distributed Evolutionary Graph Partitioning	Oct 3, 2011	graph partitioning	CodeCode Available	0	5
Distributed Graph Embedding with Information-Oriented Random Walks	Mar 28, 2023	CPUGraph Embedding	CodeCode Available	0	5

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