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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 51–100 of 208 papers

TitleStatusHype
PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed TrainingCode0
Refining a k-nearest neighbor graph for a computationally efficient spectral clusteringCode0
Learning Spatial Context with Graph Neural Network for Multi-Person Pose GroupingCode0
Robust Fair Clustering: A Novel Fairness Attack and Defense FrameworkCode0
Deep Spectral Improvement for Unsupervised Image Instance SegmentationCode0
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep LearningCode0
Demystifying Distributed Training of Graph Neural Networks for Link PredictionCode0
Characterizing and comparing external measures for the assessment of cluster analysis and community detectionCode0
Learning Space Partitions for Nearest Neighbor SearchCode0
DistDGL: Distributed Graph Neural Network Training for Billion-Scale GraphsCode0
Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic ForecastingCode0
A Min-max Cult Algorithm for Graph Partitioning and Data ClusteringCode0
Distributed Graph Embedding with Information-Oriented Random WalksCode0
Distributed Evolutionary Graph PartitioningCode0
Hierarchical Superpixel Segmentation via Structural Information TheoryCode0
Refining a -nearest neighbor graph for a computationally efficient spectral clusteringCode0
Improving Coarsening Schemes for Hypergraph Partitioning by Exploiting Community StructureCode0
Inductive Graph UnlearningCode0
BClean: A Bayesian Data Cleaning SystemCode0
Distributed Compressed Sparse Row Format for Spiking Neural Network Simulation, Serialization, and Interoperability—0
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks—0
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction—0
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks—0
Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation—0
Algorithms for metric learning via contrastive embeddings—0
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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