HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks.
Cong XuHuiling HuangXiaoting YingJianliang GaoZhao LiPeng ZhangJie XiaoJiarun ZhangJiangjian LuoPublished in: Inf. Sci. (2022)
Keyphrases
- neural network
- learning vector quantization
- pattern recognition
- hierarchical classification
- pattern classification
- feature extraction
- feature selection
- random walk
- markov chain
- classification algorithm
- classification accuracy
- class labels
- support vector machine svm
- text classification
- image classification
- support vector
- feature vectors
- unsupervised learning
- decision trees
- stock market
- directed graph
- bp neural network
- graph theory
- structured data
- supervised learning
- feature space
- genetic algorithm
- machine learning
- probabilistic neural network
- graph representation
- neural network is trained
- multi layer perceptron
- classification scheme
- kohonen self organizing map
- classification models
- associative memory
- classification method
- self organizing maps
- back propagation
- artificial neural networks
- training set
- social networks