GDS version: 2.9.0 Neo4j version: 5.22.0 Operating system: Linux dockerized version Expected behavior Multiple execution of the node2vec over the same graph defining a random seed should output the ...

Graph limit theory provides a rigorous framework for analysing sequences of large graphs by representing them as continuous objects known as graphons – symmetric measurable functions on the unit ...

The Evolution of Random Graphs, Transactions of the American Mathematical Society, Vol. 286, No. 1 (Nov., 1984), pp. 257-274 ...

We study the decentralized online regularized linear regression algorithm over random time-varying graphs. At each time step, every node runs an online estimation algorithm consisting of an innovation ...

Now that we have examined many of the factors that affect accuracy and precision, we will categorize the types of errors that result from said factors, as well as mentioning other, practical ...

Michael Schweinberger, Mark S. Handcock, Local dependence in random graph models: characterization, properties and statistical inference, Journal of the Royal Statistical Society. Series B ...

This article investigates the performance of coherent multiple-input multiple-out (MIMO) radar in the presence of independent but not necessarily identically distributed random amplitude errors. We ...

We prove a quantitative Russo-Seymour-Welsh (RSW) type result for random walks on two natural examples of random planar graphs: the supercritical percolation cluster in the square lattice and the ...

In an experiment, evaluate the validity of the steps leading up to the conclusion for it to be valid. Random and systematic errors can contribute to the uncertainty of a measurement.