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Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

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Showing 71–80 of 101 papers

TitleStatusHype
Efficient Graph Deep Learning in TensorFlow with tf_geometricCode1
Generalize a Small Pre-trained Model to Arbitrarily Large TSP InstancesCode1
Learning Parameters for Balanced Index Influence Maximization—0
Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through GradientsCode1
Text Graph Transformer for Document Classification—0
Scalable Graph Neural Networks via Bidirectional PropagationCode1
Accurate, Efficient and Scalable Training of Graph Neural NetworksCode1
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
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