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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 121–130 of 208 papers

TitleStatusHype
Revisiting Graph Construction for Fast Image Segmentation—0
Scalable Graph Convolutional Network Training on Distributed-Memory Systems—0
Similarity-Driven Semantic Role Induction via Graph Partitioning—0
Spectral Clustering with Imbalanced Data—0
Spectral Hashing—0
Stateless actor-critic for instance segmentation with high-level priors—0
Stochastic Blockmodeling for Online Advertising—0
Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge Distillation—0
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning—0
Supporting Very Large Models using Automatic Dataflow Graph Partitioning—0
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