Figure 5
From: Bayesian inference of transition matrices from incomplete graph data with a topological prior
Effects of partial constraints on the inference of a transition matrix. The left panel shows results on Erdős Rényi graphs, the middle panel shows results on geometric Euclidean random graphs, and the right panel shows results on geometric hyperbolic random graphs. We measure performance with the Frobenius distance between the transition matrix of the ground truth and that of the inferred model. Error bars represent the 95% confidence interval (mostly too small to be visible). Despite the partial information on constraints, its usage benefits the network inference