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 ...

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 ...

What do you do when your bar is a wreck? What do you do when you’re drowning in debt? What do you do when your staff is a mess? You call Jon Taffer at Bar Rescue. It’s far from closing time ...

Cryptocurrency has come a long way, hasn’t it? Projects like Quant have redefined how blockchains interact, setting benchmarks for interoperability. Quant’s Overledger technology has positioned it as ...

Abstract: In this letter, low frequency noise (LFN) of elevated-metal metal-oxide (EMMO) thin-film transistor (TFT) is systematically investigated for the first time. EMMO TFT possesses distinctive ...

xPACIFICA / Getty Images High-frequency trading (HFT) software uses complex algorithms to analyze markets and execute large volumes of trades in microseconds. It requires advanced trading ...

Add a description, image, and links to the relative-neighborhood-graph topic page so that developers can more easily learn about it.

Initially, time-frequency complexity and temporal features of the EEG signal are extracted to generate node features for a graph convolutional network. Subsequently, leveraging channel correlation, ...

Relative return is the difference between the absolute return and the performance of the market. Traders commonly use a benchmark, like an index, to accurately measure their investment's return ...