Generative models for graph data form a rapidly maturing subfield at the intersection of network science and machine learning, aiming to synthesise realistic graph structures that capture the ...
Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...
A VAE architecture consists of 1) an encoder which encodes training data into 2) a multi-dimensional latent space which is used by 3) a decoder which decodes data from the latent space to generate ...
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