mlsanityData to 14 Oct 2026

ChatGPT Informed Graph Neural Network for Stock Movement Prediction

arXiv 2306.03763 ↗First posted 28 May 2023q-fin.ST cs.AI cs.CLcited by 41

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Abstract (arXiv)

ChatGPT has demonstrated remarkable capabilities across various natural language processing (NLP) tasks. However, its potential for inferring dynamic network structures from temporal textual data, specifically financial news, remains an unexplored frontier. In this research, we introduce a novel framework that leverages ChatGPT's graph inference capabilities to enhance Graph Neural Networks (GNN). Our framework adeptly extracts evolving network structures from textual data, and incorporates these networks into graph neural networks for subsequent predictive tasks. The experimental results from stock movement forecasting indicate our model has consistently outperformed the state-of-the-art Deep Learning-based benchmarks. Furthermore, the portfolios constructed based on our model's outputs demonstrate higher annualized cumulative returns, alongside reduced volatility and maximum drawdown. This superior performance highlights the potential of ChatGPT for text-based network inferences and underscores its promising implications for the financial sector.

Key facts. Cited by 41 papers in the map (data through 14 Oct 2026). Builds on 8 of its 32 references that are in the map. First posted on arXiv 28 May 2023.

Builds on

8 of 32 references.

References · 8

  1. 2022Training language models to follow instructions with human feedbackcited by 15,971
  2. 2019A Comprehensive Survey on Graph Neural Networkscited by 2,919
  3. 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitycited by 894
  4. 2019Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological Viewcited by 545
  5. 2022ROLAND: Graph Learning Framework for Dynamic Graphscited by 132
  6. 2023Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Modelscited by 129
  7. 2019OpenNRE: An Open and Extensible Toolkit for Neural Relation Extractioncited by 62
  8. 2023Accuracy and Political Bias of News Source Credibility Ratings by Large Language Modelscited by 25

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 4; 2024: 16; 2025: 14; 2026: 7.

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  1. 2024Foundation Models for Time Series Analysis: A Tutorial and Surveycited by 239
  2. 2023Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlookcited by 110
  3. 2024A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challengescited by 90
  4. 2024Empowering Time Series Analysis with Large Language Models: A Surveycited by 60
  5. 2025TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loopcited by 39
  6. 2024Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Modelscited by 36
  7. 2023Assessing Look-Ahead Bias in Stock Return Predictions Generated By GPT Sentiment Analysiscited by 31
  8. 2024Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selectioncited by 29
  9. 2025Multi-modal Time Series Analysis: A Tutorial and Surveycited by 24
  10. 2024Empowering Time Series Analysis with Foundation Models: A Comprehensive Surveycited by 23
  11. 2025BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelingcited by 19
  12. 2023Integrating Graphs with Large Language Models: Methods and Prospectscited by 18
29 more
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  3. 2025Can Multimodal LLMs Perform Time Series Anomaly Detection?cited by 12
  4. 2025Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Reviewcited by 10
  5. 2024Ploutos: Towards interpretable stock movement prediction with financial large language modelcited by 9
  6. 2025FLAME: Financial Large-Language Model Assessment and Metrics Evaluationcited by 8
  7. 2024Can LLMs Learn Macroeconomic Narratives from Social Media?cited by 7
  8. 2024A Scoping Review of ChatGPT Research in Accounting and Financecited by 6
  9. 2025Exposing Product Bias in LLM Investment Recommendationcited by 6
  10. 2024MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRUcited by 4
  11. 2025Bridging Language Models and Financial Analysiscited by 4
  12. 2025DELPHYNE: A Pre-Trained Model for General and Financial Time Seriescited by 4
  13. 2023Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Surveycited by 3
  14. 2024MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learningcited by 2
  15. 2026A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspectivecited by 2
  16. 2024Boardwalk Empire: How Generative AI is Revolutionizing Economic Paradigmscited by 1
  17. 2024Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashescited by 1
  18. 2024Large Language Models for Financial Aid in Financial Time-series Forecastingcited by 1
  19. 2025DMSC: Dynamic Multi-Scale Coordination Framework for Time Series Forecastingcited by 1
  20. 2025Multilevel Analysis of Cryptocurrency News using RAG Approach with Fine-Tuned Mistral Large Language Modelcited by 1
  21. 2025Uncovering Zero-Shot Generalization Gaps in Time-Series Foundation Models Using Real-World Videoscited by 1
  22. 2025H3M-SSMoEs: Hypergraph-based Multimodal Learning with LLM Reasoning and Style-Structured Mixture of Expertscited by 0
  23. 2025When Large Language Models Do Not Work: Online Incivility Prediction through Graph Neural Networkscited by 0
  24. 2026Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecastingcited by 0
  25. 2026A Bipartite Graph Approach to U.S.-China Cross-Market Return Forecastingcited by 0
  26. 2026Relational Probing: LM-to-Graph Adaptation for Financial Predictioncited by 0
  27. 2026Agent-Based Post-Hoc Correction of Agricultural Yield Forecastscited by 0
  28. 2026FundaPod: A Multi-Persona Agent Pod Architecture with Knowledge Graph Memory for AI-Assisted Fundamental Investment Researchcited by 0
  29. 2026F2Agent: Financial Fusion of Agentic Intelligence for Multimodal Tradingcited by 0