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Found 3 papers, 1 papers with code
Efficient Direct-Connect Topologies for Collective Communications
We consider the problem of distilling efficient network topologies for collective communications.
Dynamics of node influence in network growth models
In this paper, we study how a metric for node influence in network growth models behaves over time as the network evolves.
Sparse Diffusion-Convolutional Neural Networks
The predictive power and overall computational efficiency of Diffusion-convolutional neural networks make them an attractive choice for node classification tasks.
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