Cover Image

Leveraging Spatiotemporal Graph Neural Networks for Multi-Store Sales Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Singh, Manish, Dayama, Arpita
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks
by: Xue, Zhihao, et al.
Published: (2025)

Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks
by: Einizade, Aref, et al.
Published: (2024)

Leveraging Graph Neural Networks to Forecast Electricity Consumption
by: Campagne, Eloi, et al.
Published: (2024)

Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation
by: Jing, Baoyu, et al.
Published: (2024)

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting
by: Wang, Zekai, et al.
Published: (2025)

Variational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting
by: Ahmad, Osama, et al.
Published: (2024)

Over-squashing in Spatiotemporal Graph Neural Networks
by: Marisca, Ivan, et al.
Published: (2025)

Leveraging Classical Algorithms for Graph Neural Networks
by: Wu, Jason, et al.
Published: (2025)

Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting
by: Le, Van-Duc, et al.
Published: (2023)

Optimizing LSTM Neural Networks for Resource-Constrained Retail Sales Forecasting: A Model Compression Study
by: Pagidoju, Ravi Teja
Published: (2026)

Eddy-Resolving Global Ocean Forecasting with Multi-Scale Graph Neural Networks
by: Hirabayashi, Yuta, et al.
Published: (2026)

Graph Neural Networks for Electricity Load Forecasting
by: Campagne, Eloi, et al.
Published: (2025)

Probabilistic Demand Forecasting with Graph Neural Networks
by: Kozodoi, Nikita, et al.
Published: (2024)

Spatiotemporal Covariance Neural Networks
by: Cavallo, Andrea, et al.
Published: (2024)

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
by: Wang, Yu, et al.
Published: (2023)

Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
by: Oskarsson, Joel, et al.
Published: (2024)

Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks
by: Wang, Qingyi, et al.
Published: (2023)

AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks
by: Zhang, Zhongyue, et al.
Published: (2026)

SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
by: Zhuang, Dingyi, et al.
Published: (2024)

ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
by: Cai, Wanlin, et al.
Published: (2024)

Graph Neural Networks in Wind Power Forecasting
by: Castellano, Javier, et al.
Published: (2025)

Enhancing Retail Sales Forecasting with Optimized Machine Learning Models
by: Ganguly, Priyam, et al.
Published: (2024)

UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction
by: Yu, Dahai, et al.
Published: (2025)

Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall
by: Bülte, Christopher, et al.
Published: (2025)

Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
by: Lee, Sanghyun, et al.
Published: (2024)

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)

Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
by: Marisca, Ivan, et al.
Published: (2024)

FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting
by: Mehouachi, Fares B., et al.
Published: (2025)

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
by: Ghaffari, Amirhossein, et al.
Published: (2026)

Weaver: Kronecker Product Approximations of Spatiotemporal Attention for Traffic Network Forecasting
by: Cheong, Christopher, et al.
Published: (2025)

Leveraging Teleconnections with Physics-Informed Graph Attention Networks for Long-Range Extreme Rainfall Forecasting in Thailand
by: Chobtham, Kiattikun, et al.
Published: (2025)

Progressive Neural Network for Multi-Horizon Time Series Forecasting
by: Lin, Yang
Published: (2023)

Activations Through Extensions: A Framework To Boost Performance Of Neural Networks
by: Kamanchi, Chandramouli, et al.
Published: (2024)

Trend Extrapolation for Technology Forecasting: Leveraging LSTM Neural Networks for Trend Analysis of Space Exploration Vessels
by: Tsai, Peng-Hung, et al.
Published: (2025)

Unlocking Your Sales Insights: Advanced XGBoost Forecasting Models for Amazon Products
by: Wang, Meng, et al.
Published: (2024)

Regional Ocean Forecasting with Hierarchical Graph Neural Networks
by: Holmberg, Daniel, et al.
Published: (2024)

Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales
by: Punati, Santhi Bharath, et al.
Published: (2025)

Towards Scalable and Structured Spatiotemporal Forecasting
by: Chen, Hongyi, et al.
Published: (2025)

Vision-LLMs for Spatiotemporal Traffic Forecasting
by: Yang, Ning, et al.
Published: (2025)

T-Graphormer: Using Transformers for Spatiotemporal Forecasting
by: Bai, Hao Yuan, et al.
Published: (2025)