Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph Via Dual Attention Networks-Reference-Cited by-同舟云学术

Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph Via Dual Attention Networks

Published:2022 Issue: Volume: Page:1-12
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Zhao Yu¹^ORCID,Du Huaming²,Liu Ying¹,Wei Shaopeng²,Chen Xingyan¹^ORCID,Zhuang Fuzhen³^ORCID,Li Qing¹^ORCID,Kou Gang²^ORCID

Affiliation:

1. Financial Intelligence and Financial Engineering Key Laboratory of Sichuan Province, Institute of Digital Economy and Interdisciplinary Science Innovation, Southwestern University of Finance and Economics, China

2. School of Business Administration, Southwestern University of Finance and Economics, China

3. Institute of Artificial Intelligence, Beihang University, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09942340.pdf?arnumber=9942340

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