Auto-decoding Graphs

Understand

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 are synthesized using self-attention modules that are trained to identify likely connectivity patterns.