MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model

MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model

Stock price prediction is challenging in financial investment, with the AI boom leading to increased interest from researchers. Despite these recent advances, many studies are limited to capturing the time series characteristics of price movement via recurrent neural networks (RNNs) but neglect othe...

Full description

Bibliographic Details
Main Authors: Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2023-01-01
Series:AI Open
Subjects:
Semi-supervised learning
Graph neural network
Knowledge representation and application
Online Access:http://www.sciencedirect.com/science/article/pii/S2666651023000189

Internet

http://www.sciencedirect.com/science/article/pii/S2666651023000189

Similar Items