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FinGAT: Financial Graph Attention Networks for Recommending Top-K
  Profitable Stocks

FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks

18 June 2021
Yi-Ling Hsu
Yu-Che Tsai
Cheng-Te Li
    AIFin
    AI4TS
ArXivPDFHTML

Papers citing "FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks"

5 / 5 papers shown
Title
Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical
  Indicators
Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators
Abdelatif Hafid
Maad Ebrahim
Ali Alfatemi
Mohamed Rahouti
Diogo Oliveira
26
2
0
16 Jul 2024
Sequential Graph Attention Learning for Predicting Dynamic Stock Trends
  (Student Abstract)
Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract)
Tzu-Ya Lai
W. Cheng
Jun-En Ding
AIFin
AI4TS
16
3
0
15 Jan 2023
Incorporating Interactive Facts for Stock Selection via Neural Recursive
  ODEs
Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs
Qiang Gao
Xinzhu Zhou
Kunpeng Zhang
Li Huang
Si-run Liu
Fan Zhou
AIFin
13
0
0
28 Oct 2022
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
30
82
0
24 Sep 2019
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
214
7,923
0
17 Aug 2015
1