The volatility of stock prices makes it difficult to predict stock price trends correctly. This
volatility is affected by many factors, including other stocks related to it. Stock prediction …

Stock price forecasting has remained an extremely challenging problem for many decades
due to the high volatility of the stock market. Recent efforts have been devoted to modeling …

In light of the existing challenges in capturing short-term fluctuations and achieving accurate
predictions in stock market time series data, this research presents the “Dual-Attention …

Stock price prediction is a crucial element in financial trading as it allows traders to make
informed decisions about buying, selling, and holding stocks. Accurate predictions of future …

The stock price of a firm is dynamically influenced by its own factors as well as those of its
peers. In this study, we introduce a Graph Attention Network (GAT) integrated with WaveNet …

Stock price prediction is considered a classic and challenging task, with the potential to aid
traders in making more protable trading decisions. Signicant improvements in stock price …

The stock market displays significant fluctuations, which are affected by numerous factors,
including financial indicators, political events, environmental conditions, and a variety of …

75 мереж, методи їх захисту, які можуть бути застосовані для забезпечен Page 1 Сучасні
напрями розвитку інформаційно-комунікаційних технологій та засобів управління 75 …

Анотація Метою доповіді є аналіз підходів до побудови онтологічних систем на
різнорідних даних, що уможливили би виявлення кореляційних залежностей в таких …

Работа посвящена возможностям применения графовых нейронных сетей для
решения задач в области рекомендательных систем, фондового рынка, а также …