Abstract: Graph Neural Networks (GNNs) are applied to multi-robot path planning due to their advantages in learning communication strategies in decentralized multi-intelligence systems, and to ...
Abstract: This paper presents a novel approach for processing cycling data from TCX files using a custom-built Julia library, TCX2Graph.j1. The method includes constructing property graphs from GPS ...
This repository is the implementation of the following paper: Theoretical Insights into Line Graph Transformation on Graph Learning. This project is built on the BREC dataset which includes 400 pairs ...
REA aims to streamline the property journey, noting that the average search-to-buy process is lengthy, spanning around 40 weeks. Housing is described as a fundamental need, and the platform strives to ...
Background: Emergency cosmetic suture is frequently required by patients with soft tissue injuries. Understanding the epidemiology and injury features of different age groups in this population ...
A Graph Neural Network Charge Model Targeting Accurate Electrostatic Properties of Organic Molecules
School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne NE1 7RU, U.K. Kuano, Hauxton House, Mill Scitech Park, Mill Lane, Cambridge, England CB22 5HX, U.K. Department ...
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