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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 31–40 of 208 papers

Title	Date	Tasks	Status	Hype	Score
Graph Construction using Principal Axis Trees for Simple Graph Convolution	Feb 22, 2023	graph constructionGraph Embedding	CodeCode Available	0	5
GAP: Generalizable Approximate Graph Partitioning Framework	Mar 2, 2019	Clusteringgraph partitioning	CodeCode Available	0	5
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls	Aug 14, 2023	Federated Learninggraph partitioning	CodeCode Available	0	5
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning	Nov 19, 2019	DecoderDeep Reinforcement Learning	CodeCode Available	0	5
Characterizing and comparing external measures for the assessment of cluster analysis and community detection	Feb 1, 2021	Community Detectiongraph partitioning	CodeCode Available	0	5
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning	Jun 10, 2024	Causal Discoverygraph partitioning	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
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation	Jul 13, 2022	Collaborative FilteringData Augmentation	CodeCode Available	0	5

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