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Christian Mancini

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GraphVAEBM: Graph Generation Combining Variational Autoencoders and Energy-Based Models

GraphVAEBM is introduced, a framework that separates graph generation from property modeling, and a Graph Variational Autoencoder is first trained to learn a continuous graph manifold and then frozen, while independent Energy-Based Models are trained to represent specific graph properties.

Christian Mancini, Daniele Castellana · 0 citations