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We propose a supervised data-driven method to predict S-wave velocity using a graph convolutional network with a bidirectional gated recurrent unit (GCN-BiGRU). This method adopts the total ...

Through efficient and concise linear operations based only on graph Laplacian matrices, it is sufficient for graph neural networks to learn high-quality node representations without complex nonlinear ...

The Graph price prediction anticipates a high of $0.419 by the end of 2025. In 2028, it will range between $0.978 and $1.12, with an average price of $1.05. In 2031, it will range between $1.68 and $1 ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

TSLA Bull 2X Shares offers double the daily movement of Tesla, but comes with significant risk due to its leveraged nature.

Did you know that Hybrid cryptocurrency prediction models can make your investment decision faster and better than ever?

Abstract: The stock market is a profit-oriented, chaotic, and nonlinear market game platform. Because price changes are directly related to investors’ returns, the accurate prediction of the ...

In the context of mobile surveillance utilizing unmanned aerial vehicles (UAVs), achieving LPD communication presents significant challenges due to the UAVs' rapid and continuous movements, which are ...

Researchers have made a breakthrough in THz frequency conversion using graphene, opening new possibilities for ultra-fast ...