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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 176200 of 208 papers

TitleStatusHype
Correlation clustering with local objectives0
COSINE: Compressive Network Embedding on Large-scale Information Networks0
Cross-Document Co-Reference Resolution using Sample-Based Clustering with Knowledge Enrichment0
Data Clustering and Graph Partitioning via Simulated Mixing0
Deep Affinity Net: Instance Segmentation via Affinity0
Deep Learning and Spectral Embedding for Graph Partitioning0
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks0
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks0
Distributed Compressed Sparse Row Format for Spiking Neural Network Simulation, Serialization, and Interoperability0
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis0
Distributed Training of Graph Convolutional Networks using Subgraph Approximation0
Distributed Training of Large Graph Neural Networks with Variable Communication Rates0
Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning0
Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering0
Edge-set reduction to efficiently solve the graph partitioning problem with the genetic algorithm0
Initialization for Network Embedding: A Graph Partition Approach0
Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints0
Efficient Video Segmentation Using Parametric Graph Partitioning0
_2-norm Flow Diffusion in Near-Linear Time0
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware0
Engineering a direct k-way Hypergraph Partitioning Algorithm0
Evolutionary Acyclic Graph Partitioning0
Fair and skill-diverse student group formation via constrained k-way graph partitioning0
Fast Algorithms for Directed Graph Partitioning Using Flows and Reweighted Eigenvalues0
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning0
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