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GNN
GNN是一种深度学习模型,通过聚合节点的邻居嵌入来生成节点嵌入
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Spatio-temporal graph neural networks (STGNN)
GNN的一个类别,常用于交通流量预测、流行病预测和睡眠阶段分类
- 方法:基于CNN和基于RNN
- 图卷积
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Graph Diffusion Convolution
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Diffusion Convolution
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Denoising Diffusion Model
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Time Series Forecasting
Time Series Forecasting
Time series forecasting aims to predict future time series values based on historical observations.
Method
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RNNs, CNNs, attention-based
Overlook and implicitly model the rich underlying dynamic spatial correlations between time series.
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GNNs
have shown great potential in explicitly and effectively modeling spatial and temporal dependencies in multivariate time series data
金融领域
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金融时序
Financial time series usually come with a high degree of variability and extensive noise to disrupt the forecasting performance.
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金融预测方法
- 对抗生成网络
- GNN
- GCN+GRU(图卷积网络+门控循环单元)
- STGNN
- HGN(超图网络)
- R-GCN(关系图卷积网络)
- Multi-graph Convolutional Network
- LSTM-ReGAT(长短期记忆网络-关系图注意力网络)