Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification
Fuente:
arXiv
Saved in:
| Main Authors: | You, Zinuo, Zhang, Pengju, Zheng, Jin, Cartlidge, John |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
by: You, Zinuo, et al.
Published: (2024)
by: You, Zinuo, et al.
Published: (2024)
Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations
by: Pei, Yunhua, et al.
Published: (2024)
by: Pei, Yunhua, et al.
Published: (2024)
Cross-Modal Temporal Fusion for Financial Market Forecasting
by: Pei, Yunhua, et al.
Published: (2025)
by: Pei, Yunhua, et al.
Published: (2025)
A Consolidated Volatility Prediction with Back Propagation Neural Network and Genetic Algorithm
by: Ke, Zong, et al.
Published: (2024)
by: Ke, Zong, et al.
Published: (2024)
Hierarchical Representations for Evolving Acyclic Vector Autoregressions (HEAVe)
by: Cornell, Cameron, et al.
Published: (2025)
by: Cornell, Cameron, et al.
Published: (2025)
Alpha Mining and Enhancing via Warm Start Genetic Programming for Quantitative Investment
by: Ren, Weizhe, et al.
Published: (2024)
by: Ren, Weizhe, et al.
Published: (2024)
Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect
by: Wong, Jian Cheng, et al.
Published: (2023)
by: Wong, Jian Cheng, et al.
Published: (2023)
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
by: Wong, Jian Cheng, et al.
Published: (2025)
by: Wong, Jian Cheng, et al.
Published: (2025)
Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions
by: Rane, Chinmay, et al.
Published: (2023)
by: Rane, Chinmay, et al.
Published: (2023)
Advanced LSTM Neural Networks for Predicting Directional Changes in Sector-Specific ETFs Using Machine Learning Techniques
by: Gowani, Rifa, et al.
Published: (2024)
by: Gowani, Rifa, et al.
Published: (2024)
EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification
by: Jiang, Zhuodong, et al.
Published: (2025)
by: Jiang, Zhuodong, et al.
Published: (2025)
Input Specific Neural Networks
by: Jadoon, Asghar A., et al.
Published: (2025)
by: Jadoon, Asghar A., et al.
Published: (2025)
Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural Networks
by: Morrill, Todd, et al.
Published: (2026)
by: Morrill, Todd, et al.
Published: (2026)
Echo State Networks for Bitcoin Time Series Prediction
by: Sharma, Mansi, et al.
Published: (2025)
by: Sharma, Mansi, et al.
Published: (2025)
Degree-Optimized Cumulative Polynomial Kolmogorov-Arnold Networks
by: Vanherreweghe, Mathew, et al.
Published: (2025)
by: Vanherreweghe, Mathew, et al.
Published: (2025)
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
by: Salvador, Matteo, et al.
Published: (2024)
by: Salvador, Matteo, et al.
Published: (2024)
Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony
by: Bagrow, James, et al.
Published: (2025)
by: Bagrow, James, et al.
Published: (2025)
Probabilistic computation and uncertainty quantification with emerging covariance
by: Ma, Hengyuan, et al.
Published: (2023)
by: Ma, Hengyuan, et al.
Published: (2023)
Multi Part Deployment of Neural Network
by: Ranjan, Paritosh, et al.
Published: (2025)
by: Ranjan, Paritosh, et al.
Published: (2025)
Neuromorphic Graph Anomaly Detection via Adaptive STDP and Spiking Graph Neural Networks
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
AutoTandemML: Active Learning Enhanced Tandem Neural Networks for Inverse Design Problems
by: Grbcic, Luka, et al.
Published: (2025)
by: Grbcic, Luka, et al.
Published: (2025)
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
by: Kang, Qiyu, et al.
Published: (2024)
by: Kang, Qiyu, et al.
Published: (2024)
Switch-Based Multi-Part Neural Network
by: Majumder, Surajit, et al.
Published: (2025)
by: Majumder, Surajit, et al.
Published: (2025)
NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification
by: Zhang, Chuhan, et al.
Published: (2023)
by: Zhang, Chuhan, et al.
Published: (2023)
Parallel Algorithms for Exact Enumeration of Deep Neural Network Activation Regions
by: Drammis, Sabrina, et al.
Published: (2024)
by: Drammis, Sabrina, et al.
Published: (2024)
Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
by: Booysen, Reinhard, et al.
Published: (2024)
by: Booysen, Reinhard, et al.
Published: (2024)
Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
by: Murad, Taslim, et al.
Published: (2024)
by: Murad, Taslim, et al.
Published: (2024)
Enhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved Performance and Interpretable Results
by: Calero, Alberto Miño, et al.
Published: (2026)
by: Calero, Alberto Miño, et al.
Published: (2026)
Digital Twin-Driven Pavement Health Monitoring and Maintenance Optimization Using Graph Neural Networks
by: Topu, Mohsin Mahmud, et al.
Published: (2025)
by: Topu, Mohsin Mahmud, et al.
Published: (2025)
Cyclic Neural Network
by: Yang, Liangwei, et al.
Published: (2024)
by: Yang, Liangwei, et al.
Published: (2024)
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
by: Yao, Yunpeng, et al.
Published: (2024)
by: Yao, Yunpeng, et al.
Published: (2024)
Nonlinear thermodynamic computing out of equilibrium
by: Whitelam, Stephen, et al.
Published: (2024)
by: Whitelam, Stephen, et al.
Published: (2024)
1D-CapsNet-LSTM: A Deep Learning-Based Model for Multi-Step Stock Index Forecasting
by: Zhang, Cheng, et al.
Published: (2023)
by: Zhang, Cheng, et al.
Published: (2023)
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)
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection
by: Amekoe, Kodjo Mawuena, et al.
Published: (2024)
by: Amekoe, Kodjo Mawuena, et al.
Published: (2024)
Comparative analysis of neural network architectures for short-term FOREX forecasting
by: Zafeiriou, Theodoros, et al.
Published: (2024)
by: Zafeiriou, Theodoros, et al.
Published: (2024)
Active Learning for Neural PDE Solvers
by: Musekamp, Daniel, et al.
Published: (2024)
by: Musekamp, Daniel, et al.
Published: (2024)
Amorphous Solid Model of Vectorial Hopfield Neural Networks
by: Gallavotti, F., et al.
Published: (2025)
by: Gallavotti, F., et al.
Published: (2025)
Repair Brain Damage: Real-Numbered Error Correction Code for Neural Network
by: Li, Ziqing, et al.
Published: (2026)
by: Li, Ziqing, et al.
Published: (2026)
A Generative Neural Annealer for Black-Box Combinatorial Optimization
by: Zhang, Yuan-Hang, et al.
Published: (2025)
by: Zhang, Yuan-Hang, et al.
Published: (2025)
Similar Items
-
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
by: You, Zinuo, et al.
Published: (2024) -
Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations
by: Pei, Yunhua, et al.
Published: (2024) -
Cross-Modal Temporal Fusion for Financial Market Forecasting
by: Pei, Yunhua, et al.
Published: (2025) -
A Consolidated Volatility Prediction with Back Propagation Neural Network and Genetic Algorithm
by: Ke, Zong, et al.
Published: (2024) -
Hierarchical Representations for Evolving Acyclic Vector Autoregressions (HEAVe)
by: Cornell, Cameron, et al.
Published: (2025)