Hybrid Information Mixing Module for Stock Movement Prediction-Reference-Cited by-同舟云学术

Hybrid Information Mixing Module for Stock Movement Prediction

Author:

Choi Jooweon¹^ORCID,Yoo Shiyong²,Zhou Xiao³,Kim Youngbin⁴^ORCID

Affiliation:

1. Department of Artificial Intelligence, Chung-Ang University, Seoul, Dongjak, South Korea

2. CAU Business School, Chung-Ang University, Seoul, Dongjak, South Korea

3. School of Journalism, Fudan University, Shanghai, Yangpu, China

4. Department of Imaging Science and Arts, Chung-Ang University, Seoul, Dongjak, South Korea

Funder

Chung-Ang University Research Grants in 2022 and Institute for Information & communications Technology Planning Evaluation

Korea government

Artificial Intelligence Graduate School Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference48 articles.

1. HATS: A hierarchical graph attention network for stock movement prediction;kim;arXiv 1908 07999,2019

3. HyperMixer: An MLP-based green AI alternative to transformers;mai;arXiv 2203 03691,2022

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