ChatGPT Informed Graph Neural Network for Stock Movement Prediction

The behavior of stock-market prices

Eugene F Fama · 1965

Earlier work this paper cites.

Random walks in stock market prices

Eugene F Fama · 1995

Earlier work this paper cites.

Long short-term memory

Sepp Hochreiter and Jürgen Schmidhuber · 1997

Earlier work this paper cites.

The cross-sectional relationship between trading costs and lead/lag effects in stock & option markets

Matthew L O’Connor · 1999

Earlier work this paper cites.

Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index

Kyoung-jae Kim and Ingoo Han · 2000

Earlier work this paper cites.

Stock price reaction to news and no-news: drift and reversal after headlines

Wesley S Chan · 2003

Earlier work this paper cites.

Automated news reading: Stock price prediction based on financial news using context-capturing features

Michael Hagenau, Michael Liebmann, and Dirk Neumann · 2013

Earlier work this paper cites.

Deep learning for event-driven stock prediction

Xiao Ding, Yue Zhang, Ting Liu, and Junwen Duan · 2015

Earlier work this paper cites.

Text-based network industries and endogenous product differentiation

Gerard Hoberg and Gordon Phillips · 2016

Earlier work this paper cites.

Intraday prediction of borsa istanbul using convolutional neural networks and feature correlations

Hakan Gunduz, Yusuf Yaslan, and Zehra Cataltepe · 2017

Earlier work this paper cites.

Advances in financial machine learning

Marcos Lopez De Prado · 2018

Cited alongside, same era.

Deep learning with long short-term memory networks for financial market predictions

Thomas Fischer and Christopher Krauss · 2018

Cited alongside, same era.

Graph convolutional networks: a comprehensive review

Si Zhang, Hanghang Tong, Jiejun Xu, and Ross Maciejewski · 2019

Cited alongside, same era.

Knowledge-driven stock trend prediction and explanation via temporal convolutional network

Shumin Deng, Ningyu Zhang, Wen Zhang, Jiaoyan Chen, Jeff Z Pan, and Huajun Chen · 2019

Cited alongside, same era.

OpenNRE: An open and extensible toolkit for neural relation extraction

Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, and Maosong Sun · 2019

Cited alongside, same era.

Stock market movement forecast: A systematic review

Oscar Bustos and Alexandra Pomares-Quimbaya · 2020

Financial time series forecasting with multi-modality graph neural network

Dawei Cheng, Fangzhou Yang, Sheng Xiang, and Jin Liu · 2022

Later among the works it cites.

Roland: Graph learning framework for dynamic graphs, 2022

Jiaxuan You, Tianyu Du, and Jure Leskovec · 2022

Later among the works it cites.

Training language models to follow instructions with human feedback

Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022

Later among the works it cites.

A survey of large language models, 2023

Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, and Ji-Rong Wen · 2023

Closest in time.

A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity

Original

Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, et al · 2023