- 
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 - 
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
 
- 
Graph Diffusion Convolution 
 
- 
- 
Diffusion Convolution 
- 
Denoising Diffusion Model 
- 
Time Series Forecasting 
Time Series Forecasting
Time series forecasting aims to predict future time series values based on historical observations.
Method
- 
RNNs, CNNs, attention-based Overlook and implicitly model the rich underlying dynamic spatial correlations between time series. 
- 
GNNs have shown great potential in explicitly and effectively modeling spatial and temporal dependencies in multivariate time series data 
金融领域
- 
金融时序 Financial time series usually come with a high degree of variability and extensive noise to disrupt the forecasting performance. 
- 
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)