In the context of Network Games, the linear quadratic model has been extensively used to model strategic interactions between a group of individuals or organisations. In realistic scenarios, it is common to observe uncertainty on both the network structure and game properties, leading to the study of a generalized game where a player lacks informations on who he's interacting with, and the strength of his externalities. A self-confirming equilibrium can arise as the outcome of a learning process, where an agent is unaware of the identity of her neighbors, receiving only an aggregate contribution she best responds to in order to maximize her utility.