Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network.
Jianliang GaoCong XuHuiling HuangXiaoting YingZhao LiPeng ZhangJie XiaoJiarun ZhangJiangjian LuoPublished in: WI/IAT (Workshop/Special Session) (2021)
Keyphrases
- shortest path
- weighted graph
- neural network
- back propagation
- multi layer
- graph structure
- graph theory
- structured data
- coarse to fine
- graph model
- spanning tree
- graph theoretic
- hierarchical structure
- feed forward
- neural network model
- graph representation
- feed forward neural networks
- attributed graphs
- artificial neural networks
- graph mining
- neural nets
- hierarchical model
- fuzzy artmap
- neural network is trained
- directed acyclic graph
- directed graph
- stock market
- fault diagnosis
- random walk
- bp neural network
- stock price
- fuzzy neural network
- multilayer perceptron
- graph clustering
- markov chain
- fuzzy logic
- genetic algorithm