Results 161 to 170 of about 1,708,308 (346)
Continuously Evolution Streaming Graph Neural Network [PDF]
Streaming graphs are widely used in practical applications,and their node and structure characteristics change dynamically with time.Although Graph Neural Network(GNN) is excellent in static graph node classification,it is difficult to apply it directly ...
GUO Husheng, ZHANG Xufei, SUN Yujie, WANG Wenjian
doaj +1 more source
Convolutional Graph Neural Networks
Convolutional neural networks (CNNs) restrict the, otherwise arbitrary, linear operation of neural networks to be a convolution with a bank of learned filters. This makes them suitable for learning tasks based on data that exhibit the regular structure of time signals and images.
Fernando Gama +3 more
openaire +3 more sources
This paper explores the value of weak-ties in classifying academic literature with the use of graph convolutional neural networks. Our experiments look at the results of treating weak-ties as if they were strong-ties to determine if that assumption ...
Gita Sukthankar +2 more
core +1 more source
Atomic Layer Deposition Processes: Versatile Platforms for Engineering ZnO‐Chitosan Biointerfaces
Vapour phase metalation (VPM), multiplied pulsed vapour phase infiltration (MPI), and O2 plasma‑enhanced atomic layer deposition (PEALD) tailor Zn–chitosan (Zn‑CS) films. PEALD improves wettability and biocompatibility. MPI enhances semiconductor behavior. Antiseptic selectivity: VPM → E. coli; MPI → H. pylori.
Mabel Moreno +17 more
wiley +1 more source
Neural Network architectures design by Cellular Automata evolution [PDF]
4th Conference of Systemics Cybernetics and Informatics. Orlando, 23-26 July 2000The design of the architecture is a crucial step in the successful application of a neural network.
Galván, Inés M. +3 more
core
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Quantum drug discovery: a hybrid quantum graph neural network–variational quantum eigensolver framework for serine neutralization [PDF]
Quantum computing has emerged as a powerful tool for modeling molecular systems with high accuracy, accelerating the search for novel therapeutic targets.
Javier Villalba-Díez +1 more
core +1 more source
Mechanically Programmable DNA Hydrogel Microparticles for 3D Cellular Systems
DNA hydrogel microparticles are designed to exhibit controllable viscoelasticity and stiffness across three orders of magnitude from 30Pa$30 \,\mathrm{Pa}$ to 6.5kPa$6.5 \,\mathrm{kPa}$. They are uptaken into fibroblast spheroids where they are actively remodeled by cellular forces depending on their mechanical properties.
Tobias Walther +9 more
wiley +1 more source

