Cover Image

Leveraging Teleconnections with Physics-Informed Graph Attention Networks for Long-Range Extreme Rainfall Forecasting in Thailand

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chobtham, Kiattikun, Sarinnapakorn, Kanoksri, Torsri, Kritanai, Deeprasertkul, Prattana, Kamma, Jirawan
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

Reinforcement Learning to Discover a North-East Monsoon Index for Rainfall Prediction in Thailand
by: Chobtham, Kiattikun
Published: (2026)

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

Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting
by: Lyu, Tengfei, et al.
Published: (2025)

Spatially Regularized Graph Attention Autoencoder Framework for Detecting Rainfall Extremes
by: Agarwal, Mihir, et al.
Published: (2024)

Efficient Subseasonal Weather Forecast using Teleconnection-informed Transformers
by: Zhao, Shan, et al.
Published: (2024)

PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks
by: Yu, Youn-Yeol, et al.
Published: (2025)

Attention-Enhanced LSTM Modeling for Improved Temperature and Rainfall Forecasting in Bangladesh
by: Joy, Usman Gani, et al.
Published: (2025)

Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting
by: Kang, Bong Gyun, et al.
Published: (2024)

Long-Range Graph Wavelet Networks
by: Guerranti, Filippo, et al.
Published: (2025)

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

Enhanced Precision in Rainfall Forecasting for Mumbai: Utilizing Physics Informed ConvLSTM2D Models for Finer Spatial and Temporal Resolution
by: Devda, Ajay, et al.
Published: (2024)

Leveraging Spatiotemporal Graph Neural Networks for Multi-Store Sales Forecasting
by: Singh, Manish, et al.
Published: (2025)

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
by: Özalp, Elise, et al.
Published: (2023)

On Measuring Long-Range Interactions in Graph Neural Networks
by: Bamberger, Jacob, et al.
Published: (2025)

Long-Term Spatio-Temporal Forecasting of Monthly Rainfall in West Bengal Using Ensemble Learning Approaches
by: Adhikary, Jishu, et al.
Published: (2025)

Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting
by: Le, Hung, et al.
Published: (2025)

Multiscale Physics-Informed Neural Network for Complex Fluid Flows with Long-Range Dependencies
by: Kumar, Prashant, et al.
Published: (2026)

Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions
by: Nauck, Christian, et al.
Published: (2024)

Deep Clustering for Climate: Analyzing Teleconnections through Learned Categorical States
by: Meinhardt, Lívia, et al.
Published: (2026)

Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2025)

M3R: Localized Rainfall Nowcasting with Meteorology-Informed MultiModal Attention
by: Panta, Sanjeev, et al.
Published: (2026)

Biological Pathway Informed Models with Graph Attention Networks (GATs)
by: Wong, Gavin, et al.
Published: (2025)

GraphFire-X: Physics-Informed Graph Attention Networks and Structural Gradient Boosting for Building-Scale Wildfire Preparedness at the Wildland-Urban Interface
by: Esparza, Miguel, et al.
Published: (2025)

Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNs
by: Chishtie, Farrukh A., et al.
Published: (2024)

Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
by: Hosseini, Ryien, et al.
Published: (2025)

Multi-Label Phase Diagram Prediction in Complex Alloys via Physics-Informed Graph Attention Networks
by: Park, Eunjeong, et al.
Published: (2026)

BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
by: Sun, Ao, et al.
Published: (2024)

Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?
by: Liang, Daojun, et al.
Published: (2023)

GSA-Forecaster: Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention
by: Li, Yang, et al.
Published: (2021)

Long Range Propagation on Continuous-Time Dynamic Graphs
by: Gravina, Alessio, et al.
Published: (2024)

PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
by: Jia, Yuxin, et al.
Published: (2024)

MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting
by: Shang, Zongjiang, et al.
Published: (2024)

Physics-Informed Extreme Learning Machine (PIELM): Opportunities and Challenges
by: Yang, He, et al.
Published: (2025)

Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
by: Heilig, Simon, et al.
Published: (2024)

Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
by: Miranda, Miro, et al.
Published: (2024)

GEN: A Practical Alternative to Graph Transformers for Long-Range Graph Modeling
by: Wang, Shuo, et al.
Published: (2024)

STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting
by: Liang, Zhuding, et al.
Published: (2025)

Deep Graph Attention Networks
by: Kato, Jun, et al.
Published: (2024)

Graph Attention Networks with Physical Constraints for Anomaly Detection
by: Homaei, Mohammadhossein, et al.
Published: (2026)

Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism
by: McClenny, Levi, et al.
Published: (2020)