Graph attention networks - Open Access .click

Results 231 to 240 of about 1,049,471 (309)

HGATLink: single-cell gene regulatory network inference via the fusion of heterogeneous graph attention networks and transformer. [PDF]

BMC Bioinformatics
Sun Y, Gao J.
europepmc +1 more source

3D Printed Multimaterial Microfluidic Transistors

Advanced Materials Technologies, EarlyView.
We introduce a biocompatible, high resolution photopolymer resin that closely mimics the Young's Modulus (elasticity) and reversible stretchability (no hysteresis) of poly(dimethylsiloxane) (PDMS), enabling the fabrication of microfluidic transistors (i.e., microvalves capable of proportional amplification) by multimaterial stereolithography (mSLA ...
Alireza Ahmadianyazdi +7 more
wiley +1 more source

Artificial intelligence-powered prediction of AIM-2 inflammasome sequences using transformers and graph attention networks in periodontal inflammation. [PDF]

Sci Rep
Yadalam PK +3 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

Dual syntax aware graph attention networks with prompt for aspect-based sentiment analysis. [PDF]

Sci Rep
Feng A, Liu T, Li X, Jia K, Gao Z.
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

SAMGAT: structure-aware multilevel graph attention networks for automatic rumor detection. [PDF]

PeerJ Comput Sci
Li Y, Chu Z, Jia C, Zu B.
europepmc +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source

A novel approach for ASD recognition based on graph attention networks. [PDF]

Front Comput Neurosci
Wang C, Xiao Z, Xu Y, Zhang Q, Chen J.
europepmc +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source

computer science
fos: computer and information sciences
machine learning cs.lg

computer science - machine learning
graph neural networks
attention mechanism

engineering
medicine
artificial intelligence cs.ai