Auto-decoding Graphs

We present an approach to synthesizing new graph structures from empirically specified distributions. The generative model is an auto-decoder that learns to synthesize graphs from latent codes. The graph synthesis model is learned jointly with an empirical distribution over the latent codes. Graphs...

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Bibliographische Detailangaben

Hauptverfasser:	Shah, Sohil Atul, Koltun, Vladlen
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
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