Saved in:
| Main Authors: | Singh, Manish, Dayama, Arpita |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.19267 |
| 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)
by: Xue, Zhihao, et al.
Published: (2025)
Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks
by: Einizade, Aref, et al.
Published: (2024)
by: Einizade, Aref, et al.
Published: (2024)
Leveraging Graph Neural Networks to Forecast Electricity Consumption
by: Campagne, Eloi, et al.
Published: (2024)
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)
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)
by: Wang, Zekai, et al.
Published: (2025)
Variational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting
by: Ahmad, Osama, et al.
Published: (2024)
by: Ahmad, Osama, et al.
Published: (2024)
Over-squashing in Spatiotemporal Graph Neural Networks
by: Marisca, Ivan, et al.
Published: (2025)
by: Marisca, Ivan, et al.
Published: (2025)
Optimizing LSTM Neural Networks for Resource-Constrained Retail Sales Forecasting: A Model Compression Study
by: Pagidoju, Ravi Teja
Published: (2026)
by: Pagidoju, Ravi Teja
Published: (2026)
Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting
by: Le, Van-Duc, et al.
Published: (2023)
by: Le, Van-Duc, et al.
Published: (2023)
Leveraging Classical Algorithms for Graph Neural Networks
by: Wu, Jason, et al.
Published: (2025)
by: Wu, Jason, et al.
Published: (2025)
Eddy-Resolving Global Ocean Forecasting with Multi-Scale Graph Neural Networks
by: Hirabayashi, Yuta, et al.
Published: (2026)
by: Hirabayashi, Yuta, et al.
Published: (2026)
Graph Neural Networks for Electricity Load Forecasting
by: Campagne, Eloi, et al.
Published: (2025)
by: Campagne, Eloi, et al.
Published: (2025)
Probabilistic Demand Forecasting with Graph Neural Networks
by: Kozodoi, Nikita, et al.
Published: (2024)
by: Kozodoi, Nikita, et al.
Published: (2024)
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks
by: Kamanchi, Chandramouli, et al.
Published: (2024)
by: Kamanchi, Chandramouli, et al.
Published: (2024)
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
by: Wang, Yu, et al.
Published: (2023)
by: Wang, Yu, et al.
Published: (2023)
Spatiotemporal Covariance Neural Networks
by: Cavallo, Andrea, et al.
Published: (2024)
by: Cavallo, Andrea, et al.
Published: (2024)
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks
by: Wang, Qingyi, et al.
Published: (2023)
by: Wang, Qingyi, et al.
Published: (2023)
Enhancing Retail Sales Forecasting with Optimized Machine Learning Models
by: Ganguly, Priyam, et al.
Published: (2024)
by: Ganguly, Priyam, et al.
Published: (2024)
AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks
by: Zhang, Zhongyue, et al.
Published: (2026)
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)
by: Zhuang, Dingyi, et al.
Published: (2024)
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
by: Oskarsson, Joel, et al.
Published: (2024)
by: Oskarsson, Joel, et al.
Published: (2024)
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
by: Cai, Wanlin, et al.
Published: (2024)
by: Cai, Wanlin, et al.
Published: (2024)
Graph Neural Networks in Wind Power Forecasting
by: Castellano, Javier, et al.
Published: (2025)
by: Castellano, Javier, et al.
Published: (2025)
UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction
by: Yu, Dahai, et al.
Published: (2025)
by: Yu, Dahai, et al.
Published: (2025)
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)
by: Wang, Hongjun, et al.
Published: (2024)
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
by: Marisca, Ivan, et al.
Published: (2024)
by: Marisca, Ivan, et al.
Published: (2024)
Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales
by: Punati, Santhi Bharath, et al.
Published: (2025)
by: Punati, Santhi Bharath, et al.
Published: (2025)
Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall
by: Bülte, Christopher, et al.
Published: (2025)
by: Bülte, Christopher, et al.
Published: (2025)
Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
by: Lee, Sanghyun, et al.
Published: (2024)
by: Lee, Sanghyun, et al.
Published: (2024)
Beyond Nearest Neighbors: Semantic Compression and Graph-Augmented Retrieval for Enhanced Vector Search
by: Raja, Rahul, et al.
Published: (2025)
by: Raja, Rahul, et al.
Published: (2025)
Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
by: Ghaffari, Amirhossein, et al.
Published: (2026)
by: Ghaffari, Amirhossein, et al.
Published: (2026)
FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting
by: Mehouachi, Fares B., et al.
Published: (2025)
by: Mehouachi, Fares B., et al.
Published: (2025)
Unlocking Your Sales Insights: Advanced XGBoost Forecasting Models for Amazon Products
by: Wang, Meng, et al.
Published: (2024)
by: Wang, Meng, et al.
Published: (2024)
Weaver: Kronecker Product Approximations of Spatiotemporal Attention for Traffic Network Forecasting
by: Cheong, Christopher, et al.
Published: (2025)
by: Cheong, Christopher, et al.
Published: (2025)
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
by: Bastos, Anson, et al.
Published: (2024)
by: Bastos, Anson, et al.
Published: (2024)
Ai-Powered Sales Demand Forecasting and Desicion Support system
by: M, Nithin, et al.
Published: (2026)
by: M, Nithin, et al.
Published: (2026)
Optimizing Sales Forecasts through Automated Integration of Market Indicators
by: Döring, Lina, et al.
Published: (2024)
by: Döring, Lina, et al.
Published: (2024)
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
by: Ekambaram, Vijay, et al.
Published: (2024)
by: Ekambaram, Vijay, et al.
Published: (2024)
On the Spatiotemporal Dynamics of Generalization in Neural Networks
by: Wei, Zichao
Published: (2026)
by: Wei, Zichao
Published: (2026)
Regional Ocean Forecasting with Hierarchical Graph Neural Networks
by: Holmberg, Daniel, et al.
Published: (2024)
by: Holmberg, Daniel, et al.
Published: (2024)
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)