Abstract Learning the topology of a graph from available data is great interest in many emerging applications. Some examples are social networks, internet things networks (intelligent IoT and industrial IoT), biological connection sensor traffic network patterns. In this paper, inference approach proposed to learn underlying structure given set noisy multi-variate observations, which modeled as...