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Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

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Showing 81–90 of 101 papers

TitleStatusHype
Text Graph Transformer for Document Classification—0
Accelerating Graph Sampling for Graph Machine Learning using GPUs—0
Little Ball of Fur: A Python Library for Graph SamplingCode0
Reducing Large Internet Topologies for Faster SimulationsCode0
On Random Walk Based Graph SamplingCode0
Folded Graph Signals: Sensing with Unlimited Dynamic Range—0
GraphBGS: Background Subtraction via Recovery of Graph Signals—0
Graph Sampling for Matrix Completion Using Recurrent Gershgorin Disc Shift—0
Influence maximization in unknown social networks: Learning Policies for Effective Graph SamplingCode0
Reconstruction-Cognizant Graph Sampling using Gershgorin Disc Alignment—0
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