Jianhua Che
Dados Biográficos
| ID | 10055155 |
|---|---|
| NOME | Jianhua Che |
| PRENOMES | Jianhua |
| SOBRENOME | Che |
| ASSINATURA | CHE J |
| AFILIAÇÕES | Shaanxi Normal University |
| ORCID | 0000-0003-1977-3022 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 1 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2025 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Decomposition-Based Dynamic Inductive Graph Embedding Learning Method to Forecast Stock Trends
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 short-term trend of stock prices has garnered significant attention. Recently, the application of a graph neural network (GNN) has become a research hotspot because of its ability to mine the momentum spillover effect between asset prices to achieve more effective fore…
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Decomposition-Based Dynamic Inductive Graph Embedding Learning Method to Forecast Stock Trends
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 short-term trend of stock prices has garnered significant attention. Recently, the application of a graph neural network (GNN) has become a research hotspot because of its ability to mine the momentum spillover effect between asset prices to achieve more effective fore…
Artificial Intelligence (1 obras) · Chemistry (1 obras) · Computer Science (1 obras) · Decomposition (1 obras) · Embedding (1 obras) · Energy Load and Power Forecasting (1 obras) · Graph (1 obras) · Machine learning (1 obras) · Theoretical Computer Science (1 obras)