Inductive representation learning on dynamic stock co-movement graphs for stock predictions
Year of publication: |
2022
|
---|---|
Authors: | Tian, Hu ; Zheng, Xiaolong ; Zhao, Kang ; Liu, Maggie Wenjing ; Zeng, Daniel Dajun |
Published in: |
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 34.2022, 4, p. 1940-1957
|
Subject: | business intelligence | deep learning | graph representation learning | predictive models | Prognoseverfahren | Forecasting model | Lernprozess | Learning process | Graphentheorie | Graph theory | Lernen | Learning | Künstliche Intelligenz | Artificial intelligence | Betriebliches Informationssystem | Business intelligence system |
-
Liang, Yile, (2024)
-
Xu, Kaiquan, (2014)
-
Li, Huanhuan, (2023)
- More ...
-
A Hybrid Deep Learning Model for Dynamic Stock Movement Predictions Based on Supply Chain Networks
Rios, John, (2021)
-
Modeling online user behaviors with competitive interactions
He, Saike, (2019)
-
Zhang, Zhu, (2021)
- More ...