We consider a multi-agent system where each agent is equipped with a Bayesian network, and present an open framework for the agents to compromise on a possible consensus network. The framework builds on formal argumentation, and unlike previous solutions on graphical consensus belief, it is sufficiently general to allow for a wide range of compromises to be identified.