Abstract: We investigate the problem of efficient computation of a partition of a Random Geometric Graph (RGG) into a limited number of densely packed bipartite grid subgraphs. The study focuses on ...

named “dual-stage constructed random graph” algorithm, is proposed to effectively model the power grid topology. The algorithm generates a spanning tree to guarantee the connectivity of random graphs ...

This repository contains codes of the paper "Grid-graph modeling of emergent neuromorphic dynamics and heterosynaptic plasticity in memristive nanonetworks ...

This case study is all about using grid searches to identify the optimal parameters for a machine learning algorithm. Here I will use the Pima Indian diabetes dataset from Kaggle and KNN. A. This is ...

Implicit intent of search queries (e.g. Toilet paper) were extracted by using Random walks on the click graph approach as outlined in the paper by the same name. All personal data was removed.