Learning to Generate Networks

22 May 2014 James Atwood Don Towsley Krista Gile David Jensen

We investigate the problem of learning to generate complex networks from data. Specifically, we consider whether deep belief networks, dependency networks, and members of the exponential random graph family can learn to generate networks whose complex behavior is consistent with a set of input examples... (read more)

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