![]() Jue proposed an enterprise knowledge graph embedded system to expand enterprise-related news information. studied the impact of news reports on the stock market from two aspects: news media attention and emotion indicators. Taking news headlines as the starting point, Chan studied investors’ sensitivity to news. studied the quantity of news and concluded that a large amount of information would lead to poor attention. Researchers have proposed a large number of methods for stock market prediction based on sentiment analysis of stock market news. Stock market news is all-inclusive, ranging from objective and neutral news reflecting stock market conditions and corporate business events to tendentious news reports that impact the short-term trend of the stock market. With the development of the internet and mobile internet technology, the impact of stock market news on stock market investors is becoming increasingly significant. Trading data, such as opening price, closing price and trading volume, can be used to obtain the momentum, weight and other derivative indicators for predicting and analyzing stock market price fluctuations. Investors in the stock market are exposed to a substantial amount of information, which provides a good data basis for the research and analysis of stock market fluctuations. Currently, the amount of information is increasing at an astonishing speed due to the rapid development of information technology. The interaction of various factors in the stock market has become a popular research direction. In the research on stock market fluctuations, many factors have been found to affect stock market fluctuations, and different information can reflect the influence of different factors on stock market fluctuations. ![]() However, as financial behavior studies have intensified, scholars have found that investors are influenced by cultural and psychological factors, and financial behavior in the market is characterized by irrationality. According to this theory, it is difficult for investors to achieve excess investment returns under the assumption of an efficient market. The efficient market hypothesis states that completely rational investors can engage in rapid and reasonable investment behavior given sufficient complete information. In stock market research, scholars have proposed various theories to explain the volatility mechanism of the stock market, among which the most famous are the efficient market hypothesis and behavioral finance theory. In the past 30 years, China’s stock market, as the most rapidly developing emerging capital market, has become the focus of scholars’ research to prevent financial risks and obtain investment profits. Stock price trends are nonlinear and unstable time series, and scholars have extensively studied stock price fluctuations. Experiments show that the proposed multi-source heterogeneous information fusion methods is superior to tensor or vector fusion method, and the constructed multi-attention diagram neural network has a better ability to explain stock market price fluctuations.Īs an important part of the overall financial market, the stock market has been widely studied by scholars and investors. A multi-attention graph neural network based on nodes and semantics is constructed to mine the implied semantics of fusion graph data and capture the influence of multi-source heterogeneous information on stock market price fluctuations. Relational dimension information is introduced to realize the effective fusion of multi-source heterogeneous data information. In this paper, a graph fusion and embedding method for multi-source heterogeneous information of Chinese stock market is established. The explanation and influence of multi-source and heterogeneous information on stock market price fluctuations need further study. However, with the development of information technology, information presents multisource and heterogeneous characteristics, and the transmission speed and mode of information have changed greatly. As a dynamic and complex system, the stock market is affected by various factors. The stock market is an important part of the capital market, and the research on the price fluctuation of the stock market has always been a hot topic for scholars.
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