Controlled prior-robustness simulation design and summary. Informative source nodes were placed three graph hops from true centric targets in pathway-like modules, and decoy targets were placed in separate modules. Performance under the correct graph prior is high and stable, whereas a wrong decoy graph and fully bad centric features are near chance. The random graph condition has larger variability because it can occasionally route true source nodes by chance.
