Imagen de Portada

Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review

Fuente: Wiley Open Access

Guardado en:

Detalles Bibliográficos
Autores principales:	Simi Job, Xiaohui Tao, Taotao Cai, Haoran Xie, Lin Li, Qing Li, Jianming Yong
Formato:	Artículo Open Access
Publicado:	Wiley 2025
Materias:	WIREs Data Mining and Knowledge Discovery
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A topic modeling‐based bibliometric exploration of automatic summarization research
por: Xieling Chen, et al.
Publicado: (2024)

A Review of Deep Learning and Large Language Models for Cold Start Problem in Recommender Systems
por: Chenlong Liu, et al.
Publicado: (2026)

Exploring Machine Learning Models for Schizophrenia Detection: A Systematic Review
por: Anushka Batte, et al.
Publicado: (2025)

A Survey on Causal Inference‐Driven Data Bias Optimization in Recommendation Systems: Principles, Opportunities and Challenges
por: Yongkang Li, et al.
Publicado: (2025)

A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications
por: Amutha Sadasivan, et al.
Publicado: (2025)

The Role of Causality in Explainable Artificial Intelligence
por: Gianluca Carloni, et al.
Publicado: (2025)

Knowledge Graph for Solubility Big Data: Construction and Applications
por: Xiao Haiyang, et al.
Publicado: (2024)

Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends
por: Shweta Thakur, et al.
Publicado: (2025)

Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence
por: M. Z. Naser
Publicado: (2024)

Knowledge Graphs and Critical Infrastructures: Friends or Foes?
por: José Miguel Blanco, et al.
Publicado: (2026)

Neuromorphic Computing and Applications: A Topical Review
por: Pavan Kumar Enuganti, et al.
Publicado: (2025)

A Systematic Review on Process Mining for Curricular Analysis
por: Daniel Calegari, et al.
Publicado: (2025)

Artificial Intelligence for Road Anomaly Detection: A Review
por: Rohit Samanta, et al.
Publicado: (2026)

Exploring the convergence of Metaverse, Blockchain, and AI: A comprehensive survey of enabling technologies, applications, challenges, and future directions
por: Mueen Uddin, et al.
Publicado: (2024)

How AI Contributes to Poverty Alleviation: A Systematic Literature Review
por: Sepehr Ghazinoory, et al.
Publicado: (2025)

A Review on the Consistency of AI ‐Generated Images for Interior Design Rendering
por: Shuangyang Tan, et al.
Publicado: (2026)

Advances in Feature Selection Using Memetic Algorithms: A Comprehensive Review
por: Keerthi Gabbi Reddy, et al.
Publicado: (2025)

Conditional GAN Approaches on Regression Labels: A State‐of‐the‐Art Review
por: Analuz Silva‐Silverio, et al.
Publicado: (2025)

The Intersection of Knowledge Graphs, Large Language Models, and Mass Spectrometry Data: Progress and Applications
por: Donghui Shi, et al.
Publicado: (2026)

Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems
por: Tamanna Sachdeva, et al.
Publicado: (2025)

Combating Digital Deception: A Taxonomical and Systematic Review of Deepfake Detection Approaches
por: Pratishtha Gupta, et al.
Publicado: (2026)

Explainable AI for Hate Speech Moderation: A Stakeholder‐Centered and Sociotechnical Review
por: Muhammad Deedahwar Mazhar Qureshi, et al.
Publicado: (2026)

AI‐Assisted Literature Review: Integrating Visualization and Geometric Features for Insightful Analysis
por: Grigorios Papageorgiou, et al.
Publicado: (2025)

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review
por: Amir Mashmool, et al.
Publicado: (2026)

A Review on Medical Image Segmentation: Datasets, Technical Models, Challenges and Solutions
por: Hong‐Seng Gan, et al.
Publicado: (2025)

Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review
por: Samiul Based Shuvo, et al.
Publicado: (2025)

A Review of Unlabeled and Imbalanced Data Challenges in Machine Learning: Strategies and Solutions
por: Neethu M S, et al.
Publicado: (2025)

ICT‐Driven Data Mining Analysis in Civil Engineering: A Scientometric Review
por: Kashvi Sood
Publicado: (2025)

Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them
por: Toshitaka Hayashi, et al.
Publicado: (2026)

An Overview of Heterogeneous Social Network Analysis
por: Deepti Singh, et al.
Publicado: (2025)

Artificial Intelligence‐Based Waste Management: A Review of Classification, Techniques, Issues, and Challenges
por: Dhanashree Vipul Yevle, et al.
Publicado: (2025)

Using Machine Learning for Systematic Literature Review Case in Point: Agile Software Development
por: Itzik David, et al.
Publicado: (2024)

Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
por: Aleka Melese Ayalew, et al.
Publicado: (2026)

A Systematic Review of Movement Tracking for Real‐Time Monitoring of Physical Exercises in the Gym
por: Sahil Bhadane, et al.
Publicado: (2025)

Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives
por: Akansha Singh, et al.
Publicado: (2025)

The Evolution of Digital Image Forgery Detection: A Comprehensive Bibliometric Review, Trends, and Future Prospects
por: Rupinder Kaur, et al.
Publicado: (2026)

Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review
por: Ali Kohan, et al.
Publicado: (2025)

Geospatial Data Clustering in Network Space: A Survey
por: Loan T. T. Nguyen, et al.
Publicado: (2025)

Automated Detection of Non‐Alcoholic Fatty Liver Disease Using Histopathological Images: A Systematic Review
por: Hamed Zamanian, et al.
Publicado: (2025)

The Evolving Landscape of Modern Regression: A Systematic Review and Mapping Study of Penalized, Algorithmic, and Interpretable Models
por: Michael Bendersky, et al.
Publicado: (2026)