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Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
13 references·4 citing·51 second hopsampled
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction (2022)Temporal and Heterogeneous Graph Neural N…Financial time series forecasting with multi-modality graph neural network (2021)Financial time series forecas…Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction (2020)Modeling the Stock Relation w…Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations (2020)Deep Attentive Learning for S…A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News (2020)A Multimodal Event-Driven LST…Temporal Relational Ranking for Stock Prediction (2019)Temporal Relational Ranking f…Stock closing price prediction based on sentiment analysis and LSTM (2019)Stock closing price predictio…Enhancing Stock Movement Prediction with Adversarial Training (2019)Enhancing Stock Movement Pred…Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction (2018)Incorporating Corporation Rel…Classification-based financial markets prediction using deep neural networks (2017)Classification-based financia…The Financial Implications of Supply Chain Changes (2016)The Financial Implications of…Stock Market Volatility and Learning (2015)Stock Market Volatility and L…Evaluating multiple classifiers for stock price direction prediction (2015)Evaluating multiple classifie…Using Structured Events to Predict Stock Price Movement: An Empirical Investigation (2014)Using Structured Events to Pr…Deep Learning-Based Dynamic Graph Framework for Robust Corporate Financial Health Risk Prediction (2025)Deep Learning-Based Dynamic G…MASTER: Market-Guided Stock Transformer for Stock Price Forecasting (2024)MASTER: Market-Guided Stock T…Artificial intelligence techniques in financial trading: A systematic literature review (2024)Artificial intelligence techn…VGC-GAN: A multi-graph convolution adversarial network for stock price prediction (2023)VGC-GAN: A multi-graph convol…Asset Prices in an Exchange Economy (1978)Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations (1991)By Force of Habit: A Consumption‐Based Explanation of Aggregate Stock Market Behavior (1999)Liquidity Shocks and Asset Price Boom/Bust Cycles (2007)Stock Price Booms and Expected Capital Gains (2017)Listening to Chaotic Whispers (2018)The Behavior of Stock-Market Prices (1965)Does the Stock Market Overreact? (1985)Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network (2018)A novel ensemble deep learning model for stock prediction based on stock prices and news (2021)Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions (2021)Textual analysis of stock market prediction using breaking financial news (2009)Wikidata (2014)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Transformer-based attention network for stock movement prediction (2022)More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)Stock market's price movement prediction with LSTM neural networks (2017)AlphaStock (2019)Multi-source aggregated classification for stock price movement prediction (2022)Neural networks in the capital markets (1995)Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)Forecasting stock indices: a comparison of classification and level estimation models (2000)Using deep learning to detect price change indications in financial markets (2017)The role of text-extracted investor sentiment in Chinese stock price prediction with the enhancement of deep learning (2020)How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries–A review and research agenda (2022)A Random Walk Down Wall Street (1973)Size, value, and momentum in international stock returns (2012)A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction (2020)Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach (2021)Investor Sentiment and the Cross‐Section of Stock Returns (2006)Deep learning with long short-term memory networks for financial market predictions (2017)Integración de los mercados financieros Latinoamericanos por medio de MILA (2020)Stock price prediction using deep learning and frequency decomposition (2020)Stock market index prediction using deep Transformer model (2022)Common risk factors in the returns on stocks and bonds (1993)A Survey of Corporate Governance (1997)Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments (2020)Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks (2021)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices (2022)On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles (2023)Data-driven stock forecasting models based on neural networks: A review (2024)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)A desicion-theoretic generalization of on-line learning and an application to boosting (1995)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)A systematic review of fundamental and technical analysis of stock market predictions (2019)Literature review: Machine learning techniques applied to financial market prediction (2019)
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References

  • 2015Evaluating multiple classifiers for stock price direction prediction597 cited
  • 2019Temporal Relational Ranking for Stock Prediction551 cited
  • 2019Stock closing price prediction based on sentiment analysis and LSTM436 cited
  • 2021Financial time series forecasting with multi-modality graph neural network431 cited
  • 2015Stock Market Volatility and Learning320 cited
  • 2014Using Structured Events to Predict Stock Price Movement: An Empirical Investigation283 cited
  • 2019Enhancing Stock Movement Prediction with Adversarial Training279 cited
  • 2018Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction253 cited
  • 2017Classification-based financial markets prediction using deep neural networks215 cited
  • 2020A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News213 cited
  • 2020Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction186 cited
  • 2020Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations146 cited
  • 2016The Financial Implications of Supply Chain Changes92 cited

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  • 2024MASTER: Market-Guided Stock Transformer for Stock Price Forecasting105 cited

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  • 2024Artificial intelligence techniques in financial trading: A systematic literature review73 cited
  • 2023VGC-GAN: A multi-graph convolution adversarial network for stock price prediction58 cited
  • 2025Deep Learning-Based Dynamic Graph Framework for Robust Corporate Financial Health Risk Prediction19 cited