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 ...

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 ...

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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, ...