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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 76–100 of 208 papers

TitleStatusHype
A Clustering Method with Graph Maximum Decoding Information—0
Deep Learning and Spectral Embedding for Graph Partitioning—0
Deep Affinity Net: Instance Segmentation via Affinity—0
A Random-Key Optimizer for Combinatorial Optimization—0
Data Clustering and Graph Partitioning via Simulated Mixing—0
A Graph-Partitioning Based Continuous Optimization Approach to Semi-supervised Clustering Problems—0
Cross-Document Co-Reference Resolution using Sample-Based Clustering with Knowledge Enrichment—0
GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching—0
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs—0
COSINE: Compressive Network Embedding on Large-scale Information Networks—0
Correlation clustering with local objectives—0
AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization—0
A Bayesian Approach To Graph Partitioning—0
Content-driven, unsupervised clustering of news articles through multiscale graph partitioning—0
From Text to Topics in Healthcare Records: An Unsupervised Graph Partitioning Methodology—0
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model—0
A Performance Guarantee for Spectral Clustering—0
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach—0
Generalized Spectral Clustering for Directed and Undirected Graphs—0
Flow-Based Algorithms for Local Graph Clustering—0
Consistency of Spectral Hypergraph Partitioning under Planted Partition Model—0
Fine-Grained Bipartite Concept Factorization for Clustering—0
Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles—0
FGPGA: An Efficient Genetic Approach for Producing Feasible Graph Partitions—0
Compassionately Conservative Balanced Cuts for Image Segmentation—0
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