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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

Showing 150 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
RAMA: A Rapid Multicut Algorithm on GPUCode1
Accurate and versatile 3D segmentation of plant tissues at cellular resolutionCode1
A Structure-Aware Framework for Learning Device Placements on Computation GraphsCode1
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural NetworksCode1
Generalized Spectral Clustering via Gromov-Wasserstein LearningCode1
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and SimplicityCode1
Graph Neural Network Based Coarse-Grained Mapping PredictionCode1
Reformulating DOVER-Lap Label Mapping as a Graph Partitioning ProblemCode1
Task-specific Scene Structure RepresentationsCode1
Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object TrackingCode1
Unleashing Graph Partitioning for Large-Scale Nearest Neighbor SearchCode1
Upsampling DINOv2 features for unsupervised vision tasks and weakly supervised materials segmentationCode1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free ApproachCode1
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient ExplorationCode1
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate CommunicationCode1
PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed TrainingCode0
Parallel Graph Partitioning for Complex NetworksCode0
PyTorch-BigGraph: A Large-scale Graph Embedding SystemCode0
Local Motif Clustering via (Hyper)Graph PartitioningCode0
Approximate spectral clustering with eigenvector selection and self-tuned kCode0
Approximate spectral clustering density-based similarity for noisy datasetsCode0
A random-key GRASP for combinatorial optimizationCode0
Leveraging Domain Knowledge to Improve Microscopy Image Segmentation with Lifted MulticutsCode0
A 3D Convolutional Approach to Spectral Object Segmentation in Space and TimeCode0
NeuroCUT: A Neural Approach for Robust Graph PartitioningCode0
Learning Space Partitions for Nearest Neighbor SearchCode0
A Min-max Cult Algorithm for Graph Partitioning and Data ClusteringCode0
Neural Improvement Heuristics for Graph Combinatorial Optimization ProblemsCode0
Inductive Graph UnlearningCode0
Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic ForecastingCode0
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep LearningCode0
Graph Construction using Principal Axis Trees for Simple Graph ConvolutionCode0
GAP: Generalizable Approximate Graph Partitioning FrameworkCode0
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex HullsCode0
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement 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
Exploring Key Point Analysis with Pairwise Generation and Graph PartitioningCode0
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable RecommendationCode0
A parameter-free graph reduction for spectral clustering and SpectralNetCode0
Distributed Graph Embedding with Information-Oriented Random WalksCode0
Hierarchical Superpixel Segmentation via Structural Information TheoryCode0
Improving Coarsening Schemes for Hypergraph Partitioning by Exploiting Community StructureCode0
Ego-splitting Framework: from Non-Overlapping to Overlapping ClustersCode0
FairGP: A Scalable and Fair Graph Transformer Using Graph PartitioningCode0
Creating Multi-Level Skill Hierarchies in Reinforcement LearningCode0
BClean: A Bayesian Data Cleaning SystemCode0
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