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1908.07999
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HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
7 August 2019
Raehyun Kim
Chan Ho So
Minbyul Jeong
Sanghoon Lee
Jinkyu Kim
Jaewoo Kang
AIFin
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Papers citing
"HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction"
39 / 39 papers shown
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DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
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Yan Ge
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Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
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Sheng Xiang
Dawei Cheng
Chencheng Shang
Ying Zhang
Yuqi Liang
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Discovering Predictable Latent Factors for Time Series Forecasting
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Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction
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Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks
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HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information
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Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data
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Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction
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FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks
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Temporally Correlated Task Scheduling for Sequence Learning
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Lewen Wang
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Applications of deep learning in stock market prediction: recent progress
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Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network
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Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
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