News

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and ...
Researchers have launched a new open-source MATLAB toolbox that generates synthetic networks with built-in vital nodes, providing a standardized ...
Graph neural networks (GNNs) encounter significant computational challenges when handling large-scale graphs, which severely restricts their efficacy across diverse applications. To address this ...
Open-source testing tools let teams to automate QA web, mobile, and API apps without licensing costs. Below, Belitsoft automation testing company highlights the best open-source tools in each category ...
This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...
We delve into the issue of node classification within graphs, specifically reevaluating the concept of neighborhood aggregation, which is a fundamental component in graph neural networks (GNNs). Our ...