Image de couverture de livre

MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tan, Peilin, Shi, Chuanqi, Tu, Dian, Xie, Liang
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

H3M-SSMoEs: Hypergraph-based Multimodal Learning with LLM Reasoning and Style-Structured Mixture of Experts
par: Tan, Peilin, et autres
Publié: (2025)

DIFFUMA: High-Fidelity Spatio-Temporal Video Prediction via Dual-Path Mamba and Diffusion Enhancement
par: Xie, Xinyu, et autres
Publié: (2025)

FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network
par: Zhang, Xiaokai, et autres
Publié: (2024)

Hierarchical Information-Guided Spatio-Temporal Mamba for Stock Time Series Forecasting
par: Yan, Wenbo, et autres
Publié: (2025)

Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation
par: Li, Mengfan, et autres
Publié: (2024)

FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction
par: Duan, Yitong, et autres
Publié: (2025)

WiGNet: Windowed Vision Graph Neural Network
par: Spadaro, Gabriele, et autres
Publié: (2024)

Link Prediction with Relational Hypergraphs
par: Huang, Xingyue, et autres
Publié: (2024)

Hypergraph Mamba for Efficient Whole Slide Image Understanding
par: Lu, Jiaxuan, et autres
Publié: (2025)

TCGPN: Temporal-Correlation Graph Pre-trained Network for Stock Forecasting
par: Yan, Wenbo, et autres
Publié: (2024)

Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction
par: An, Rui, et autres
Publié: (2025)

CLiGNet: Clinical Label-Interaction Graph Network for Medical Specialty Classification from Clinical Transcriptions
par: Barman, Pronob Kumar, et autres
Publié: (2026)

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via
par: Liang, Yuanyuan, et autres
Publié: (2025)

MAD-SmaAt-GNet: A Multimodal Advection-Guided Neural Network for Precipitation Nowcasting
par: van Wonderen, Samuel, et autres
Publié: (2026)

Causal Spherical Hypergraph Networks for Modelling Social Uncertainty
par: Harit, Anoushka, et autres
Publié: (2025)

DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis
par: An, Rui, et autres
Publié: (2026)

Heterogeneous Temporal Hypergraph Neural Network
par: Liu, Huan, et autres
Publié: (2025)

Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning
par: Sun, Zhongtian, et autres
Publié: (2025)

Repetitive Contrastive Learning Enhances Mamba's Selectivity in Time Series Prediction
par: Yan, Wenbo, et autres
Publié: (2025)

Adaptive Hypergraph Network for Trust Prediction
par: Xu, Rongwei, et autres
Publié: (2024)

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction
par: Chen, Haolong, et autres
Publié: (2025)

Mamba Outpaces Reformer in Stock Prediction with Sentiments from Top Ten LLMs
par: Kadiyala, Lokesh Antony, et autres
Publié: (2025)

High-order Knowledge Based Network Controllability Robustness Prediction: A Hypergraph Neural Network Approach
par: Mo, Shibing, et autres
Publié: (2026)

Temporal Smoothness Doubly Robust Learning for Debiased Knowledge Tracing
par: Zhan, Peilin, et autres
Publié: (2026)

Learning to Build the Environment: Self-Evolving Reasoning RL via Verifiable Environment Synthesis
par: Shi, Yucheng, et autres
Publié: (2026)

Deep Semantic Graph Learning via LLM based Node Enhancement
par: Shi, Chuanqi, et autres
Publié: (2025)

ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing
par: Tew, Hwa Hui, et autres
Publié: (2025)

Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
par: Yu, Leisheng, et autres
Publié: (2025)

BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification
par: Qian, Jian, et autres
Publié: (2025)

CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction
par: Li, Shuqi, et autres
Publié: (2024)

HST-HGN: Heterogeneous Spatial-Temporal Hypergraph Networks with Bidirectional State Space Models for Global Fatigue Assessment
par: Chen, Changdao
Publié: (2026)

CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learning
par: Liang, Shunpan, et autres
Publié: (2024)

Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
par: Gracious, Tony, et autres
Publié: (2023)

STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model
par: Li, Lincan, et autres
Publié: (2024)

Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs
par: Chen, Jiawen, et autres
Publié: (2025)

Tensorized Hypergraph Neural Networks
par: Wang, Maolin, et autres
Publié: (2023)

Double-Path Adaptive-correlation Spatial-Temporal Inverted Transformer for Stock Time Series Forecasting
par: Yan, Wenbo, et autres
Publié: (2024)

RLGNet: Repeating-Local-Global History Network for Temporal Knowledge Graph Reasoning
par: Lv, Ao, et autres
Publié: (2024)

From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling
par: Hu, Yi, et autres
Publié: (2025)

Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
par: Yin, Gongzhu, et autres
Publié: (2025)