DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction.
Zinuo YouZijian ShiHongbo BoJohn CartlidgeLi ZhangYan GePublished in: CoRR (2024)
Keyphrases
- neural network
- prediction model
- diffusion process
- prediction accuracy
- artificial neural networks
- genetic algorithm
- prediction algorithm
- back propagation
- bipartite graph
- graph structure
- graph model
- elman network
- information propagation
- predictive model
- graph theory
- bp neural network
- structured data
- self organizing maps
- random walk
- neural network is trained
- protein function prediction
- stock market
- pattern recognition
- fuzzy logic
- graph representation
- fault diagnosis
- weighted graph
- multi layer perceptron
- fuzzy neural network
- stock price
- connected components
- graph mining
- chaotic time series
- semi supervised
- recurrent neural networks