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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 161–170 of 208 papers

Title	Date	Tasks	Status	Hype
Think Locally, Act Globally: Perfectly Balanced Graph Partitioning	Oct 1, 2012	graph partitioning	CodeCode Available	0
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering	Feb 16, 2024	ClusteringFairness	CodeCode Available	0
Improving Coarsening Schemes for Hypergraph Partitioning by Exploiting Community Structure	Jan 1, 2017	Community Detectiongraph partitioning	CodeCode Available	0
A parameter-free graph reduction for spectral clustering and SpectralNet	Feb 25, 2023	ClusteringGraph Clustering	CodeCode Available	0
Inductive Graph Unlearning	Apr 6, 2023	FairnessGraph Learning	CodeCode Available	0
Parallel Graph Partitioning for Complex Networks	Apr 18, 2014	ClusteringGraph Clustering	CodeCode Available	0
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation	Jul 13, 2022	Collaborative FilteringData Augmentation	CodeCode Available	0
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning	Jan 24, 2018	CPUDeep Learning	CodeCode Available	0
PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training	Jul 15, 2025	graph partitioning	CodeCode Available	0
Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters	Aug 13, 2017	ClusteringCommunity Detection	CodeCode Available	0

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