Federated asynchronous graph attention network with structural semantic embedding for multi-label graph classification. [PDF]
Ji X +5 more
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Integrating multiomics data using a correlation based graph attention network for subtype classification in lower grade glioma. [PDF]
Hamid EM +8 more
europepmc +1 more source
Gemcitabine resistance remains a major challenge in pancreatic ductal adenocarcinoma. This study identifies STYK1 as a key mediator of chemoresistance through autophagy‐dependent maintenance of cancer stemness. Gemcitabine‐activated AMPK phosphorylates STYK1 at Ser91 and Ser304, enhancing autophagy and stemness.
Xueying Dong +20 more
wiley +1 more source
cncFinder: A graph-attention-network-based interpretable learning model to identify bifunctional long non-coding RNAs. [PDF]
Tang Q +5 more
europepmc +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Research on inter-well connectivity in CO<sub>2</sub> flooding based on long short-term memory graph attention network. [PDF]
Dong Z +7 more
europepmc +1 more source
STGATN: A novel spatiotemporal graph attention network for predicting pollutant concentrations at multiple stations. [PDF]
Xu H, Song W, Qian L, Mei X, Zou G.
europepmc +1 more source
Jumping knowledge graph attention network for resource allocation in wireless cellular system. [PDF]
Sun Q, Fang Z, Li Y, Petrosian O.
europepmc +1 more source

