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Found 3 papers, 1 papers with code
NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series Imaging
Network data analytics are now at the core of almost every networking solution.
A Pre-training Oracle for Predicting Distances in Social Networks
OSP can be easily extended to other domains such as random networks by choosing an appropriate model to generate synthetic training data, and therefore promises to impact many different network learning problems.
Adversarial Data Generation of Multi-category Marked Temporal Point Processes with Sparse, Incomplete, and Small Training Samples
The transformation of training data to the distribution facilitates the accurate capture of underlying process characteristics despite the sparseness and incompleteness of data.
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