Spatial Multiomics Reveal Insights Into ADC Efficacy
Spatial multiomics profiling can reveal how tumor heterogeneity and microenvironment influence ADC efficacy. Combining spatial transcriptomics, proteomics, and AI‐based analysis improves the identification of tissue factors influencing therapy response.
Osman Goni +4 more
wiley +1 more source
Control flow graph based code optimization using graph neural networks. [PDF]
Peker M, Ozturk O.
europepmc +1 more source
A Graph Neural Network Approach to Cross‐Cultural Narrative Visualization for Educational Reform
A BERT‐GNN framework integrated with systemic functional linguistics identifies narrative functions in Thai literary texts and constructs cultural influence graphs for cross‐cultural analysis and digital humanities applications. ABSTRACT Thai literary classics constitute an important medium for the interaction of Southeast Asian multicultural ...
Wanjie Yang, Qian Zhang
wiley +1 more source
Federated learning with continual update for privacy-preserving clinical event prediction across distributed hospitals using MCN-GNN. [PDF]
Jagdeesh K +7 more
europepmc +1 more source
This study intends to investigate a new approach that combines the benefits of physical mechanisms and data‐driven methods to complete real‐time and accurate mapping and forecasting of flood inundation against the backdrop of large‐scale digital twin basins in order to further meet the needs of flood control and disaster reduction in river basins ...
Rong Chen, Sha Li, Jinfei Liu, Bin Deng
wiley +1 more source
Mobile Base Station User Scheduling Optimization Algorithm Based on Graph Neural Network
Multicell and multiuser downlink joint transmission wireless communication system. ABSTRACT With the upgrading of mobile communication technology and the rise of the mobile communications industry, the mobile Internet is booming. However, mobile Internet networks are facing the next technological revolution due to the explosive growth of mobile devices,
Jingya Zhang
wiley +1 more source
Graph neural network-based mutation-aware regression test ordering using code dependency graphs and execution traces. [PDF]
Sowmyadevi S, Alphy A.
europepmc +1 more source
GatorST: A Versatile Contrastive Meta‐Learning Framework for Spatial Transcriptomic Data Analysis
GatorST learns spatially informed embeddings for spatial transcriptomics by coupling two‐hop subgraph graph convolutions with cluster‐aware pseudo‐label supervision and episodic contrastive meta‐learning. The framework captures neighbor‐level topology and tissue‐wide expression semantics without heavy augmentations, delivering robust representations ...
Zhenhao Zhang +5 more
wiley +1 more source
Graph Machine Learning Can Estimate Drug Concentrations in Whole Blood from Forensic Screening Results. [PDF]
Lutchyn T, Mardal M, Nedahl M, Ricaud B.
europepmc +1 more source

