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HATS: A Hierarchical Graph Attention Network for Stock Movement
  Prediction
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction"

39 / 39 papers shown
H3M-SSMoEs: Hypergraph-based Multimodal Learning with LLM Reasoning and Style-Structured Mixture of Experts
H3M-SSMoEs: Hypergraph-based Multimodal Learning with LLM Reasoning and Style-Structured Mixture of Experts
Peilin Tan
Liang Xie
Churan Zhi
Dian Tu
Chuanqi Shi
AIFin
351
0
0
29 Oct 2025
RegimeFolio: A Regime Aware ML System for Sectoral Portfolio Optimization in Dynamic Markets
RegimeFolio: A Regime Aware ML System for Sectoral Portfolio Optimization in Dynamic MarketsIEEE Access (IEEE Access), 2025
Yiyao Zhang
Diksha Goel
Hussain Ahmad
Claudia Szabo
AI4TS
163
5
0
14 Sep 2025
From Deep Learning to LLMs: A survey of AI in Quantitative Investment
From Deep Learning to LLMs: A survey of AI in Quantitative Investment
Bokai Cao
Saizhuo Wang
Xinyi Lin
Xiaojun Wu
Haohan Zhang
L. Ni
Jian Guo
AIFin
368
17
0
27 Mar 2025
Predicting Stock Movement with BERTweet and Transformers
Predicting Stock Movement with BERTweet and Transformers
Michael Charles Albada
Mojolaoluwa Joshua Sonola
AIFin
116
1
0
13 Mar 2025
From Votes to Volatility Predicting the Stock Market on Election Day
From Votes to Volatility Predicting the Stock Market on Election Day
Igor L.R. Azevedo
Toyotaro Suzumura
201
0
0
15 Dec 2024
Dynamic Graph Representation with Contrastive Learning for Financial
  Market Prediction: Integrating Temporal Evolution and Static Relations
Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static RelationsInternational Conference on Agents and Artificial Intelligence (ICAART), 2024
Yunhua Pei
Jin Zheng
John Cartlidge
AIFin
355
5
0
05 Dec 2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock
  Movement Prediction
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement PredictionNeural Information Processing Systems (NeurIPS), 2024
Shuqi Li
Yuebo Sun
Yuxin Lin
Xin Gao
Shuo Shang
Rui Yan
AIFin
390
6
0
10 Nov 2024
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
MarS: a Financial Market Simulation Engine Powered by Generative Foundation ModelInternational Conference on Learning Representations (ICLR), 2024
Junjie Li
Yang Liu
Yuante Li
Shikai Fang
Lewen Wang
Chang Xu
Jiang Bian
VGen
400
23
0
04 Sep 2024
GraphCNNpred: A stock market indices prediction using a Graph based deep
  learning system
GraphCNNpred: A stock market indices prediction using a Graph based deep learning system
Yuhui Jin
GNNAIFin
227
9
0
04 Jul 2024
Ploutos: Towards interpretable stock movement prediction with financial
  large language model
Ploutos: Towards interpretable stock movement prediction with financial large language model
Hanshuang Tong
Jun Li
Ning Wu
Ming Gong
Dongmei Zhang
Qi Zhang
AIFin
285
21
0
18 Feb 2024
Multi-relational Graph Diffusion Neural Network with Parallel Retention
  for Stock Trends Classification
Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification
Zinuo You
Pengju Zhang
Jin Zheng
John Cartlidge
AIFinDiffM
208
11
0
05 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy
  and Directions
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and DirectionsACM Computing Surveys (ACM CSUR), 2024
Cheng-Te Li
Yu-Che Tsai
Chih-Yao Chen
Jay Chiehen Liao
LMTDAI4CE
281
30
0
04 Jan 2024
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement
  Prediction
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement PredictionInternational Conference on Agents and Artificial Intelligence (ICAART), 2024
Zinuo You
Zijian Shi
Hongbo Bo
John Cartlidge
Li Zhang
Yan Ge
AIFinDiffM
198
13
0
03 Jan 2024
Higher-order Graph Attention Network for Stock Selection with Joint
  Analysis
Higher-order Graph Attention Network for Stock Selection with Joint Analysis
Yang Qiao
Yiping Xia
Xiang Li
Zheng Li
Yan Ge
AIFin
139
2
0
27 Jun 2023
Temporal and Heterogeneous Graph Neural Network for Financial Time
  Series Prediction
Temporal and Heterogeneous Graph Neural Network for Financial Time Series PredictionInternational Conference on Information and Knowledge Management (CIKM), 2022
Sheng Xiang
Dawei Cheng
Chencheng Shang
Ying Zhang
Yuqi Liang
AIFinAI4TS
330
108
0
09 May 2023
Discovering Predictable Latent Factors for Time Series Forecasting
Discovering Predictable Latent Factors for Time Series ForecastingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jingyi Hou
Zhen Dong
Jiayu Zhou
Zhijie Liu
AI4TSBDL
257
2
0
18 Mar 2023
Graph Attention with Hierarchies for Multi-hop Question Answering
Graph Attention with Hierarchies for Multi-hop Question Answering
Yunjie He
P. Gorinski
Ieva Staliunaite
Pontus Stenetorp
165
4
0
27 Jan 2023
NETpred: Network-based modeling and prediction of multiple connected
  market indices
NETpred: Network-based modeling and prediction of multiple connected market indices
Alireza Jafari
Saman Haratizadeh
AIFin
218
0
0
02 Dec 2022
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in
  Stock Movement Prediction
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement PredictionWeb Search and Data Mining (WSDM), 2022
T. T. Huynh
Minh Hieu Nguyen
Thanh Tam Nguyen
Phi Le Nguyen
Matthias Weidlich
Quoc Viet Hung Nguyen
Karl Aberer
AIFinAI4TS
211
52
0
11 Nov 2022
Revisiting Adversarial Attacks on Graph Neural Networks for Graph
  Classification
Revisiting Adversarial Attacks on Graph Neural Networks for Graph ClassificationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Xin Eric Wang
Heng Chang
Beini Xie
Tian Bian
Shiji Zhou
Daixin Wang
Qing Cui
Wenwu Zhu
AAML
418
15
0
13 Aug 2022
An advanced spatio-temporal convolutional recurrent neural network for
  storm surge predictions
An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions
Ehsan Adeli
Luning Sun
Jianxun Wang
A. Taflanidis
165
27
0
18 Apr 2022
GCNET: graph-based prediction of stock price movement using graph
  convolutional network
GCNET: graph-based prediction of stock price movement using graph convolutional networkEngineering applications of artificial intelligence (EAAI), 2022
Alireza Jafari
Saman Haratizadeh
GNNAIFinAI4TS
355
47
0
19 Feb 2022
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market
  Knowledge Graph via Dual Attention Networks
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yu Zhao
Huaming Du
Ying Liu
Shaopeng Wei
Xingyan Chen
Fuzhen Zhuang
Qing Li
Ji Liu
Gang Kou
AIFin
376
75
0
11 Jan 2022
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining
  Concept-Oriented Shared Information
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information
Wentao Xu
Yuante Li
Lewen Wang
Ziheng Lu
Jiang Bian
Jian Yin
Tie-Yan Liu
AI4TSAIFin
273
70
0
26 Oct 2021
Enterprise Analytics using Graph Database and Graph-based Deep Learning
Enterprise Analytics using Graph Database and Graph-based Deep Learning
Shagufta Henna
Shyam Krishnan Kalliadan
GNN
150
5
0
05 Aug 2021
Graph-Based Learning for Stock Movement Prediction with Textual and
  Relational Data
Graph-Based Learning for Stock Movement Prediction with Textual and Relational DataInternational Conference on AI in Finance (ICAF), 2021
Qinkai Chen
C. Robert
AIFin
213
26
0
22 Jul 2021
Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction
C. Cui
Xiaojie Li
Juan Du
Chunyun Zhang
Xiushan Nie
Meng Wang
Yilong Yin
AIFin
286
12
0
22 Jul 2021
FinGAT: Financial Graph Attention Networks for Recommending Top-K
  Profitable Stocks
FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable StocksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Yi-Ling Hsu
Yu-Che Tsai
Cheng-Te Li
AIFinAI4TS
217
21
0
18 Jun 2021
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNsNeural Networks (NN), 2021
Seongjun Yun
Minbyul Jeong
Sungdong Yoo
Seunghun Lee
Sean S. Yi
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
224
101
0
11 Jun 2021
Can we imitate the principal investor's behavior to learn option price?
Can we imitate the principal investor's behavior to learn option price?
Xin Jin
186
0
0
24 May 2021
REST: Relational Event-driven Stock Trend Forecasting
REST: Relational Event-driven Stock Trend ForecastingThe Web Conference (WWW), 2021
W. Xu
Yuante Li
Chang Xu
Jiang Bian
Jian Yin
Tie-Yan Liu
317
75
0
15 Feb 2021
Event-Driven Learning of Systematic Behaviours in Stock Markets
Event-Driven Learning of Systematic Behaviours in Stock MarketsFindings (Findings), 2020
Xianchao Wu
AIFin
158
9
0
23 Oct 2020
MAPS: Multi-agent Reinforcement Learning-based Portfolio Management
  System
MAPS: Multi-agent Reinforcement Learning-based Portfolio Management SystemInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Jinho Lee
Raehyun Kim
Seok-Won Yi
Jaewoo Kang
AIFinAI4TS
175
39
0
10 Jul 2020
Temporally Correlated Task Scheduling for Sequence Learning
Temporally Correlated Task Scheduling for Sequence LearningInternational Conference on Machine Learning (ICML), 2020
Xueqing Wu
Lewen Wang
Ziheng Lu
Yuante Li
Lijun Wu
Shufang Xie
Tao Qin
Tie-Yan Liu
278
11
0
10 Jul 2020
Applications of deep learning in stock market prediction: recent
  progress
Applications of deep learning in stock market prediction: recent progressExpert systems with applications (ESWA), 2020
Weiwei Jiang
AIFin
230
603
0
29 Feb 2020
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural
  Network
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network
Pengxin Guo
Chang Deng
Linjie Xu
Xiaonan Huang
Yu Zhang
167
8
0
12 Feb 2020
Graph Transformer Networks
Graph Transformer NetworksNeural Information Processing Systems (NeurIPS), 2019
Seongjun Yun
Minbyul Jeong
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
788
1,291
0
06 Nov 2019
Exploring Graph Neural Networks for Stock Market Predictions with
  Rolling Window Analysis
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
Daiki Matsunaga
Toyotaro Suzumura
Toshihiro Takahashi
AIFin
311
94
0
24 Sep 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
2.4K
6,769
0
20 Dec 2018
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