Cover Image

Causal Graph Neural Networks for Wildfire Danger Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Shan, Prapas, Ioannis, Karasante, Ilektra, Xiong, Zhitong, Papoutsis, Ioannis, Camps-Valls, Gustau, Zhu, Xiao Xiang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncertainty-Aware Deep Learning for Wildfire Danger Forecasting
by: Kondylatos, Spyros, et al.
Published: (2025)

On the Generalization of Representation Uncertainty in Earth Observation
by: Kondylatos, Spyros, et al.
Published: (2025)

TeleViT1.0: Teleconnection-aware Vision Transformers for Subseasonal to Seasonal Wildfire Pattern Forecasts
by: Prapas, Ioannis, et al.
Published: (2025)

Probabilistic Machine Learning for Noisy Labels in Earth Observation
by: Kondylatos, Spyros, et al.
Published: (2025)

Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping
by: Bountos, Nikolaos Ioannis, et al.
Published: (2023)

FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction
by: Michail, Dimitrios, et al.
Published: (2025)

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

Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation
by: Zhao, Shan, et al.
Published: (2024)

ExEBench: Benchmarking Foundation Models on Extreme Earth Events
by: Zhao, Shan, et al.
Published: (2025)

Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks
by: Michail, Dimitrios, et al.
Published: (2024)

Hide and Seek: Investigating Redundancy in Earth Observation Imagery
by: Papazafeiropoulos, Tasos, et al.
Published: (2026)

Causal machine learning for sustainable agroecosystems
by: Sitokonstantinou, Vasileios, et al.
Published: (2024)

Magnifying change: Rapid burn scar mapping with multi-resolution, multi-source satellite imagery
by: Sdraka, Maria, et al.
Published: (2026)

Explainable Global Wildfire Prediction Models using Graph Neural Networks
by: Chen, Dayou, et al.
Published: (2024)

Physically consistent and uncertainty-aware learning of spatiotemporal dynamics
by: Xu, Qingsong, et al.
Published: (2025)

Large Language Models for Constrained-Based Causal Discovery
by: Cohrs, Kai-Hendrik, et al.
Published: (2024)

Wildfire spread forecasting with Deep Learning
by: Anastasiou, Nikolaos, et al.
Published: (2025)

Thalia: A Global, Multi-Modal Dataset for Volcanic Activity Monitoring
by: Papadopoulos, Nikolas, et al.
Published: (2025)

Causal Graph Neural Networks for Healthcare
by: Mesinovic, Munib, et al.
Published: (2025)

Are Heterogeneous Graph Neural Networks Truly Effective? A Causal Perspective
by: Yang, Xiao, et al.
Published: (2025)

A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
by: Mentzelopoulos, Georgios, et al.
Published: (2025)

Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation
by: Xiong, Zhitong, et al.
Published: (2024)

Learning Causal Response Representations through Direct Effect Analysis
by: Durand, Homer, et al.
Published: (2025)

When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
by: Jiang, Wenzhao, et al.
Published: (2023)

Graph Neural Network Causal Explanation via Neural Causal Models
by: Behnam, Arman, et al.
Published: (2024)

Conformalized Link Prediction on Graph Neural Networks
by: Zhao, Tianyi, et al.
Published: (2024)

GDS Agent for Graph Algorithmic Reasoning
by: Shi, Borun, et al.
Published: (2025)

The ecosystem of machine learning competitions: Platforms, participants, and their impact on AI development
by: Nasios, Ioannis
Published: (2026)

A Conformal Predictive Measure for Assessing Catastrophic Forgetting
by: Pitsiorlas, Ioannis, et al.
Published: (2025)

Quantifying Calibration Error in Neural Networks Through Evidence-Based Theory
by: Ouattara, Koffi Ismael, et al.
Published: (2024)

Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation
by: Mahajan, Divyat, et al.
Published: (2022)

Spectro-Riemannian Graph Neural Networks
by: Grover, Karish, et al.
Published: (2025)

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
by: Su, Junwei, et al.
Published: (2024)

Heterophilic Graph Neural Networks Optimization with Causal Message-passing
by: Wang, Botao, et al.
Published: (2024)

Boolean Product Graph Neural Networks
by: Wang, Ziyan, et al.
Published: (2024)

From Classical to Topological Neural Networks Under Uncertainty
by: Dayton, Sarah Harkins, et al.
Published: (2026)

Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction
by: Dong, Pingping, et al.
Published: (2024)

A Real-time Multimodal Transformer Neural Network-powered Wildfire Forecasting System
by: Chen, Qijun, et al.
Published: (2025)

Financial Fraud Detection using Quantum Graph Neural Networks
by: Innan, Nouhaila, et al.
Published: (2023)

SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks
by: Huang, Zhenhua, et al.
Published: (2024)