DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction.
Zinuo YouZijian ShiHongbo BoJohn CartlidgeLi ZhangYan GePublished in: ICAART (2) (2024)
Keyphrases
- neural network
- prediction model
- prediction accuracy
- diffusion process
- artificial neural networks
- graph representation
- structured data
- pattern recognition
- graph structure
- elman network
- graph model
- random walk
- stock market
- fuzzy logic
- prediction algorithm
- neural network is trained
- predictive model
- recurrent neural networks
- bipartite graph
- bp neural network
- graph matching
- back propagation
- non stationary
- social networks
- neural nets
- feed forward
- graph databases
- basis functions
- long term
- neural network ensemble
- chaotic time series
- image segmentation