Graph attention networks - Open Access .click

Results 171 to 180 of about 84,208 (297)

Layered Nanoporous Platforms for SERS Sensing

Advanced Materials Interfaces, EarlyView.
Here, we present a detailed investigation of the SERS performance of layered nanoporous metals. The controlled deposition of well‐defined, stacked porous layers enabled a systematic analysis of the effects of multimetallic systems in SERS experiments. Numerical models are also used to support the experimental findings.
Yanqiu Zou +18 more
wiley +1 more source

Cornus Mas L. Seed‐Derived Biosorbent for Methylene Blue Removal: Surface Characterization and Biosorption Performance

Advanced Materials Interfaces, EarlyView.
Cornus mas L. seeds are transformed into a high‐performance biosorbent through chemical modification, effectively removing methylene blue from aqueous solutions. Comprehensive characterization and optimization reveal a maximum biosorption capacity of 71.71 mg g−1, establishing this sustainable, cost‐effective material as a promising solution for ...
Hakan Yıldız, Adem Necip, Arslan Yusuf Yüksel +2 more
wiley +1 more source

Graph Ordering Attention Networks

International audienceGraph Neural Networks (GNNs) have been successfully used in many problems involving graphstructured data, achieving state-of-the-art performance.
George, Dasoulas +3 more
core +1 more source

Geometry-aware graph attention networks to explain single-cell chromatin states and gene expression with SEAGALL. [PDF]

Genome Biol
Malagoli G +4 more
europepmc +1 more source

Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications

Advanced Materials Technologies, EarlyView.
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley +1 more source

Improving personalized recommendations system using graph attention networks driven by perceived complexity and innovation. [PDF]

Sci Rep
Ullah S +5 more
europepmc +1 more source

Gold Nanorods in Cardiac Millitissues: Assessing Mechanical and Contractile Dynamics in a Living Engineering Myocardium Model

Advanced Materials Technologies, EarlyView.
This study presents a novel platform for assessing the active mechanical behavior of living cardiac microbundles through localized nanoindentation, integrated with temperature regulation and dual‐camera imaging systems. The developed system enables quantitative evaluation of dynamic micromechanics in engineered cardiac tissues in vitro, offering ...
Lihua Lou +4 more
wiley +1 more source

Dynamic spatiotemporal graph attention networks for cross-regional multi-disease forecasting and intervention optimization. [PDF]

Front Public Health
Liu S, Cao L.
europepmc +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source

I‑GAT: Interpretable Graph Attention Networks for Ligand Optimization. [PDF]

ACS Omega
Mathew E, Emmitte KA, Liu J.
europepmc +1 more source

graph neural networks
attention mechanism
graph neural network

deep learning
graph attention network