Abstract: Graph Attention Networks (GAT) is a type of neural network architecture designed to effectively model and process data represented as graphs. GATs leverage the concept of attention ...

Close up line chart and moving average, portfolio information moving along the graphs. Wealth management, stock portfolio, percentage changes. Investment, equity, business. Royalty-free licenses let ...

On Chinese social media, stories of U.S. financial hardship have gone viral under the phrase “death line,” describing how many Americans are just one crisis away from poverty. Roughly 67 percent of ...

Abstract: Graph convolutional networks (GCN) have recently been studied to exploit the graph topology of the human body for skeleton-based action recognition. However, most of these methods ...