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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 2650 of 208 papers

TitleStatusHype
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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