Abstract: In recent years, Graph Neural Networks (GNNs) have achieved significant success in graph-based tasks. However, they still face challenges in complex scenarios, particularly in integrating ...

DFP has been underperforming, but its sustainable distribution and discount to NAV offer some potential. Click here to find ...

Integrate the Microsoft Graph API into your .NET project! The Microsoft Graph .NET Core Client Library contains core classes and interfaces used by Microsoft.Graph Client Library to send native HTTP ...

Months of stalled discussions had put a major distribution line at risk for Bloomsbury, which had previously warned it had failed to negotiate new terms for an Amazon UK contract overseeing the ...

(Reuters) -Aptiv said on Wednesday it would separate its electrical distribution systems (EDS) business into a new company, as it looks to focus on its advanced driver-aid technology, sending ...

Several high frequency indicators in the Indian economy such as credit growth, index of industrial production, steel production, auto sales, and GST collections are showing signs of a pick-up ...

Abstract: This paper analyses an emerging real-world phenomena in inverter-based renewable-dominated power systems, namely, asymmetry of frequency distribution. The paper first provides a rationale on ...

LINE is a Japanese instant messenger app, produced by the eponymous corporation. In Asia, the most popular instant messenger apps have evolved to become platforms in their own right. On these, users ...

Here we focus on stock, the macro-economic global factors that could aid (or prevent) your progress, plus how to develop a distribution ... grow your merchandise in line with demand, or serve ...

Understanding how a qualified charitable distribution (QCD) works is important. Not only could the donation lead to several tax benefits, but the money donated may substantially impact the charity ...

Initially, time-frequency complexity and temporal features of the EEG signal are extracted to generate node features for a graph convolutional network ... ensuring an equal distribution of samples ...