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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 1–50 of 208 papers

TitleStatusHype
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and LocalizationCode2
DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic PotentialsCode2
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and SimplicityCode1
Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object TrackingCode1
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient ExplorationCode1
Graph Neural Network Based Coarse-Grained Mapping PredictionCode1
Generalized Spectral Clustering via Gromov-Wasserstein LearningCode1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
Accurate and versatile 3D segmentation of plant tissues at cellular resolutionCode1
RAMA: A Rapid Multicut Algorithm on GPUCode1
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free ApproachCode1
A Structure-Aware Framework for Learning Device Placements on Computation GraphsCode1
Task-specific Scene Structure RepresentationsCode1
Unleashing Graph Partitioning for Large-Scale Nearest Neighbor SearchCode1
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate CommunicationCode1
Reformulating DOVER-Lap Label Mapping as a Graph Partitioning ProblemCode1
Upsampling DINOv2 features for unsupervised vision tasks and weakly supervised materials segmentationCode1
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural NetworksCode1
Parallel Graph Partitioning for Complex NetworksCode0
NeuroCUT: A Neural Approach for Robust Graph PartitioningCode0
PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed TrainingCode0
Leveraging Domain Knowledge to Improve Microscopy Image Segmentation with Lifted MulticutsCode0
Approximate spectral clustering with eigenvector selection and self-tuned kCode0
Learning Spatial Context with Graph Neural Network for Multi-Person Pose GroupingCode0
A random-key GRASP for combinatorial optimizationCode0
Learning Space Partitions for Nearest Neighbor SearchCode0
A 3D Convolutional Approach to Spectral Object Segmentation in Space and TimeCode0
Neural Improvement Heuristics for Graph Combinatorial Optimization ProblemsCode0
Local Motif Clustering via (Hyper)Graph PartitioningCode0
A Min-max Cult Algorithm for Graph Partitioning and Data ClusteringCode0
PyTorch-BigGraph: A Large-scale Graph Embedding SystemCode0
Improving Coarsening Schemes for Hypergraph Partitioning by Exploiting Community StructureCode0
A parameter-free graph reduction for spectral clustering and SpectralNetCode0
Inductive Graph UnlearningCode0
Graph Construction using Principal Axis Trees for Simple Graph ConvolutionCode0
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex HullsCode0
GAP: Generalizable Approximate Graph Partitioning FrameworkCode0
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep LearningCode0
Characterizing and comparing external measures for the assessment of cluster analysis and community detectionCode0
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph PartitioningCode0
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement LearningCode0
Ego-splitting Framework: from Non-Overlapping to Overlapping ClustersCode0
Distributed Graph Embedding with Information-Oriented Random WalksCode0
Distributed Evolutionary Graph PartitioningCode0
Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic ForecastingCode0
Hierarchical Superpixel Segmentation via Structural Information TheoryCode0
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable RecommendationCode0
Approximate spectral clustering density-based similarity for noisy datasetsCode0
Creating Multi-Level Skill Hierarchies in Reinforcement LearningCode0
Exploring Key Point Analysis with Pairwise Generation and Graph PartitioningCode0
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