Results 171 to 180 of about 24,295 (253)

Fourier Neural Pseudo‐Log Generator for Well Log Reconstruction and Beyond‐Record Generation

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Geophysical well logging is crucial for subsurface exploration, but its application is often hindered by incomplete data and high operational costs. To address these challenges, we propose the Fourier neural pseudo‐log generator (FNPG), a novel generative model capable of both missing well log reconstruction and generation of new, beyond ...
Zicheng Gai, Yanfei Wang
wiley   +1 more source

Hybrid vision transformer and graph neural network model with region-adaptive attention for enhanced skin cancer prediction. [PDF]

Sci Rep
Dogga A, R S, S S.
europepmc   +1 more source

Predicting SARS‐CoV‐2 Infection With Graph Attention Capsule Networks

Computational Intelligence, Volume 42, Issue 3, June 2026.
ABSTRACT Recent studies in machine learning have demonstrated the effectiveness of applying graph neural networks (GNNs) to single‐cell RNA sequencing (scRNA‐seq) data to predict COVID‐19 disease states. In this study, we propose an explainable graph attention capsule network (GACapNet), which extracts and fuses Severe Acute Respiratory Syndrome ...
Runjie Zhu, Jimmy Xiangji Huang, Amran Bhuiyan, Zhiwen Xie, Guangyou Zhou   +4 more
wiley   +1 more source

Intelligent decision-making for mine ventilation systems based on graph neural network and deep reinforcement learning fusion. [PDF]

Sci Rep
Zhang K, Yang X, Li H.
europepmc   +1 more source

Artificial Intelligence Powers Protein Functional Annotation

Advanced Science, Volume 13, Issue 26, 8 May 2026.
This review systematically summarizes how artificial intelligence advances protein functional annotation. It organizes existing methods into six unified modeling paradigms and analyzes their applications in Gene Ontology and Enzyme Commission prediction.
Wenkang Wang, Qiurong Yang, Min Zeng, Ruiqing Zheng, Min Li   +4 more
wiley   +1 more source

Graph neural network surrogates to leverage mechanistic expert knowledge towards reliable and immediate pandemic response. [PDF]

Sci Rep
Schmidt A, Zunker H, Heinlein A, Kühn MJ.   +3 more
europepmc   +1 more source

Graph Neural Network in Raman Spectroscopy to Leverage the Performance and Interpretability of the Classification

Chemistry–Methods, Volume 6, Issue 5, May 2026.
Graphic neural networks are constructed for Raman‐based biomedical applications after transferring Raman spectra into graph representations, i.e., nodes and edges. The classification is observed to provide better robustness against disturbing spectral variations such as device‐to‐device differences.
Shuxia Guo, Sandra Baaba Frempong, Markus Salbreiter, Annette Wagenhaus, Petra Rösch, Jürgen Popp, Thomas Bocklitz   +6 more
wiley   +1 more source

Generative AI in drug repurposing and biomarker discovery: a multimodal approach. [PDF]

Front Bioinform
Saranya K, Joseph ER, Kalaiarasi T, Karthiga M.   +3 more
europepmc   +1 more source

Accelerated‐USE: A Benchmark Framework for GPU‐Driven Graph Neural Network Training

Concurrency and Computation: Practice and Experience, Volume 38, Issue 9, May 2026.
ABSTRACT Graph processing is used in many domains to extract knowledge from real‐world data. With the rise of deep neural networks and scaled compute infrastructure in artificial intelligence (AI), specialized techniques emerged to leverage graphs in applications such as recommendation systems and social networks.
Lucas de Angelo Martins Ribeiro, Willian Borges de Lemos, Vanessa Telles da Silva, Marcelo de Gomensoro Malheiros, Nelson Lopes Duarte Filho, Marcelo Rita Pias   +5 more
wiley   +1 more source

Graph neural networks and belief rule base collaborative modeling for automated and interpretable fault diagnosis in proton exchange membrane fuel cells. [PDF]

PLoS One
Zhao Y, Wang T, Wang X.
europepmc   +1 more source