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Exploring Graph Neural Networks for Stock Market Predictions with
  Rolling Window Analysis

Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis

24 September 2019
Daiki Matsunaga
Toyotaro Suzumura
Toshihiro Takahashi
    AIFin
ArXivPDFHTML

Papers citing "Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis"

14 / 14 papers shown
Title
Predictive AI with External Knowledge Infusion for Stocks
Predictive AI with External Knowledge Infusion for Stocks
Ambedkar Dukkipati
Kawin Mayilvaghanan
Naveen Kumar Pallekonda
Sai Prakash Hadnoor
Ranga Shaarad Ayyagari
AIFin
46
0
0
14 Apr 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
54
0
0
27 Mar 2025
SETN: Stock Embedding Enhanced with Textual and Network Information
SETN: Stock Embedding Enhanced with Textual and Network Information
Takehiro Takayanagi
Hiroki Sakaji
Kiyoshi Izumi
AIFin
30
2
0
06 Aug 2024
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
35
117
0
16 Oct 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
19
0
0
02 Dec 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci
  Curvature
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
K. Nguyen
Hieu Nong
T. Nguyen
Nhat Ho
Khuong N. Nguyen
Vinh Phu Nguyen
27
62
0
28 Nov 2022
Robustness of Locally Differentially Private Graph Analysis Against
  Poisoning
Robustness of Locally Differentially Private Graph Analysis Against Poisoning
Jacob Imola
A. Chowdhury
Kamalika Chaudhuri
AAML
20
6
0
25 Oct 2022
Sparsification and Filtering for Spatial-temporal GNN in Multivariate
  Time-series
Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series
Yuanrong Wang
T. Aste
AI4TS
18
10
0
08 Mar 2022
A Review on Graph Neural Network Methods in Financial Applications
A Review on Graph Neural Network Methods in Financial Applications
Jianian Wang
Shenmin Zhang
Yanghua Xiao
Rui Song
AI4TS
26
104
0
27 Nov 2021
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
Weiqing Liu
Lewen Wang
Yingce Xia
Jiang Bian
Jian Yin
Tie-Yan Liu
AI4TS
AIFin
31
46
0
26 Oct 2021
FinGAT: Financial Graph Attention Networks for Recommending Top-K
  Profitable Stocks
FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks
Yi-Ling Hsu
Yu-Che Tsai
Cheng-Te Li
AIFin
AI4TS
25
16
0
18 Jun 2021
REST: Relational Event-driven Stock Trend Forecasting
REST: Relational Event-driven Stock Trend Forecasting
W. Xu
Weiqing Liu
Chang Xu
Jiang Bian
Jian Yin
Tie-Yan Liu
26
54
0
15 Feb 2021
Domain-specific Knowledge Graphs: A survey
Domain-specific Knowledge Graphs: A survey
Bilal Abu-Salih
24
279
0
31 Oct 2020
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
AI4CE
GNN
28
5,397
0
20 Dec 2018
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