Methods: In this study, a graph-based long short-term memory-convolutional neural ... Finland), consisting of 204 planar gradiometers and 102 magnetometers. The experiments were conducted in a ...

Specifically, circuits with a few layers in their structure are simpler to produce. Planar graphs become a framework for these applications. All the abovementioned applications utilize the concept of ...

That would be almost impossible to get correct, right? Random number generators (RNG) are hardware devices or software algorithms that spawn a different sequence of numbers (and/or symbols ...

Recent work of Ding and Gwynne has shown how to construct LQG in this phase as a planar random geometry associated with the Gaussian free field, which exhibits “infinite spikes.” In contrast, a number ...

A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

This repository hosts the open sources of the Neo4j Graph Data Science (GDS) library. The GDS library is a plugin for the Neo4j graph database. GDS comprises graph algorithms, graph transformations, ...

These surfaces have connections to string theory, conformal field theory, and statistical mechanics, and are expected to describe the scaling limits of various types of random planar maps ... of a ...