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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 41–50 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
Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters	Aug 13, 2017	ClusteringCommunity Detection	CodeCode Available	0	5
Distributed Graph Embedding with Information-Oriented Random Walks	Mar 28, 2023	CPUGraph Embedding	CodeCode Available	0	5
Distributed Evolutionary Graph Partitioning	Oct 3, 2011	graph partitioning	CodeCode Available	0	5
Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting	Sep 24, 2019	graph partitioningManagement	CodeCode Available	0	5
Hierarchical Superpixel Segmentation via Structural Information Theory	Jan 13, 2025	graph constructiongraph partitioning	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
Approximate spectral clustering density-based similarity for noisy datasets	Feb 22, 2023	ClusteringGraph Clustering	CodeCode Available	0	5
Creating Multi-Level Skill Hierarchies in Reinforcement Learning	Jun 16, 2023	graph partitioningreinforcement-learning	CodeCode Available	0	5
Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning	Apr 17, 2024	Argument Mininggraph partitioning	CodeCode Available	0	5

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