SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–60 of 208 papers

TitleStatusHype
3D Cell Nuclei Segmentation with Balanced Graph Partitioning—0
Data Clustering and Graph Partitioning via Simulated Mixing—0
Deep Affinity Net: Instance Segmentation via Affinity—0
Deep Learning and Spectral Embedding for Graph Partitioning—0
Algorithms for metric learning via contrastive embeddings—0
A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks—0
Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation—0
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks—0
An Incremental Reseeding Strategy for Clustering—0
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks—0
Show:102550
← PrevPage 6 of 21Next →

No leaderboard results yet.