On The Plurality of Graphs

Specifically, between neural agents is a growing area of interest within the we model the interactions (edges) between individual agents (nodes) deep learning community. Though a number of variants have been as the structure of a graph generated according to a series of known presented over the course of the recent time period, the central focus random graph generating algorithms. Confirming the hypothesis proposed of this line of study centres around inducing ground-up language in [10], we show that the two factors of variation induced in acquisition between two agents, which are themselves typically parameterized this work, namely 1) the graph-generating process and 2) the centrality by neural networks.