EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Jiang, Zhuodong, Zhang, Pengju, Martin, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification
by: You, Zinuo, et al.
Published: (2024)
by: You, Zinuo, et al.
Published: (2024)
Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
by: Koistinen, Kosti, et al.
Published: (2026)
by: Koistinen, Kosti, et al.
Published: (2026)
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
by: Garnier, Paul, et al.
Published: (2024)
by: Garnier, Paul, et al.
Published: (2024)
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)
by: Zhu, Peng, et al.
Published: (2024)
An Attention-based Spatio-Temporal Neural Operator for Evolving Physics
by: Karkaria, Vispi, et al.
Published: (2025)
by: Karkaria, Vispi, et al.
Published: (2025)
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
by: Zhao, Lifan, et al.
Published: (2023)
by: Zhao, Lifan, et al.
Published: (2023)
A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
by: Din, Riaz Ud, et al.
Published: (2024)
by: Din, Riaz Ud, et al.
Published: (2024)
Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems
by: Arsene, Corneliu, et al.
Published: (2023)
by: Arsene, Corneliu, et al.
Published: (2023)
Flexible Parallel Neural Network Architecture Model for Early Prediction of Lithium Battery Life
by: Jiang, Lidang, et al.
Published: (2024)
by: Jiang, Lidang, et al.
Published: (2024)
Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention
by: Curtosi, Gabriel, et al.
Published: (2026)
by: Curtosi, Gabriel, et al.
Published: (2026)
GRAPPA -- A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures
by: Hoffmann, Marco, et al.
Published: (2025)
by: Hoffmann, Marco, et al.
Published: (2025)
Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
by: Wasi, Azmine Toushik, et al.
Published: (2024)
by: Wasi, Azmine Toushik, et al.
Published: (2024)
ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance
by: Topu, Mohsin Mahmud, et al.
Published: (2026)
by: Topu, Mohsin Mahmud, et al.
Published: (2026)
S$^{3}$G: Stock State Space Graph for Enhanced Stock Trend Prediction
by: Lu, Yao, et al.
Published: (2026)
by: Lu, Yao, et al.
Published: (2026)
StockBot 2.0: Vanilla LSTMs Outperform Transformer-based Forecasting for Stock Prices
by: Mohanty, Shaswat
Published: (2026)
by: Mohanty, Shaswat
Published: (2026)
B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
by: Proszewska, Magdalena, et al.
Published: (2025)
by: Proszewska, Magdalena, et al.
Published: (2025)
Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks
by: Raut, Riddhiman, et al.
Published: (2024)
by: Raut, Riddhiman, et al.
Published: (2024)
Precision Glass Thermoforming Assisted by Neural Networks
by: Zhang, Yuzhou, et al.
Published: (2024)
by: Zhang, Yuzhou, et al.
Published: (2024)
Graph Network-based Structural Simulator: Graph Neural Networks for Structural Dynamics
by: Lucchetti, Alessandro, et al.
Published: (2025)
by: Lucchetti, Alessandro, et al.
Published: (2025)
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks
by: Zhang, Shengming, et al.
Published: (2025)
by: Zhang, Shengming, et al.
Published: (2025)
ResNLS: An Improved Model for Stock Price Forecasting
by: Jia, Yuanzhe, et al.
Published: (2023)
by: Jia, Yuanzhe, et al.
Published: (2023)
Predicting Stock Price Movement as an Image Classification Problem
by: Steinbacher, Matej
Published: (2023)
by: Steinbacher, Matej
Published: (2023)
Physics-Informed Neural Networks for Shell Structures
by: Bastek, Jan-Hendrik, et al.
Published: (2022)
by: Bastek, Jan-Hendrik, et al.
Published: (2022)
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
by: Zhang, Zeyang, et al.
Published: (2023)
by: Zhang, Zeyang, et al.
Published: (2023)
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)
by: Wang, Shengkun, et al.
Published: (2024)
Vector-Quantized Discrete Latent Factors Meet Financial Priors: Dynamic Cross-Sectional Stock Ranking Prediction for Portfolio Construction
by: Kim, Namhyoung, et al.
Published: (2026)
by: Kim, Namhyoung, et al.
Published: (2026)
Neural Persistence Dynamics
by: Zeng, Sebastian, et al.
Published: (2024)
by: Zeng, Sebastian, et al.
Published: (2024)
Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems
by: Sharma, Vinay, et al.
Published: (2025)
by: Sharma, Vinay, et al.
Published: (2025)
Graph Laplacian-based Bayesian Multi-fidelity Modeling
by: Pinti, Orazio, et al.
Published: (2024)
by: Pinti, Orazio, et al.
Published: (2024)
Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention
by: Yadav, Akash, et al.
Published: (2026)
by: Yadav, Akash, et al.
Published: (2026)
DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models
by: Daiya, Divyanshu, et al.
Published: (2024)
by: Daiya, Divyanshu, et al.
Published: (2024)
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
by: Barwey, Shivam, et al.
Published: (2024)
by: Barwey, Shivam, et al.
Published: (2024)
Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems
by: Sharma, Vinay, et al.
Published: (2025)
by: Sharma, Vinay, et al.
Published: (2025)
MLP, XGBoost, KAN, TDNN, and LSTM-GRU Hybrid RNN with Attention for SPX and NDX European Call Option Pricing
by: Ter-Avanesov, Boris, et al.
Published: (2024)
by: Ter-Avanesov, Boris, et al.
Published: (2024)
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
by: Zhao, Zhiyuan, et al.
Published: (2023)
by: Zhao, Zhiyuan, et al.
Published: (2023)
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
by: Vaiuso, Andrea, et al.
Published: (2024)
by: Vaiuso, Andrea, et al.
Published: (2024)
Application of Tensor Neural Networks to Pricing Bermudan Swaptions
by: Patel, Raj G., et al.
Published: (2023)
by: Patel, Raj G., et al.
Published: (2023)
A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty
by: Singh, Pratyush Kumar, et al.
Published: (2024)
by: Singh, Pratyush Kumar, et al.
Published: (2024)
Similar Items
-
Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification
by: You, Zinuo, et al.
Published: (2024) -
Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
by: Koistinen, Kosti, et al.
Published: (2026) -
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
by: Garnier, Paul, et al.
Published: (2024) -
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024) -
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)