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Graph Signal Recovery Using Restricted Boltzmann Machines

We propose a model-agnostic pipeline to recover graph signals from an expert system by exploiting the content addressable memory property of restricted Boltzmann machine and the representational ability of a neural network. The proposed pipeline …

Boltzmann machine modeling of layered MoS2 synthesis on a quantum annealer

Two-dimensional layered materials are usually synthesized by chemical vapor deposition (CVD). Here we use the Restricted Boltzmann Machine (RBM) and its enhancement called Limited Boltzmann Machine (LBM) on a quantum computer to model the chemical …

Practical Social Network Analysis with Python

Although there are innumerable complex systems and therefore a large number of networks, the focus of this book is social networks. A social network contains individuals as nodes and links representing the relationship between these individuals. The …

Performance of procedures for identifying influentials in a social network: prediction of time and memory usage as a function of network properties

Identification of influential nodes in a social network is an interesting problem since these nodes assist in faster information propagation in the network. In the current work, the procedures based on Cole and Weiss are used to identify influentials …