Results 131 to 140 of about 84,208 (297)

Pixel-wise Graph Attention Networks for Person Re-identification

, 2023
Graph convolutional networks (GCN) is widely used to handle irregular data since it updates node features by using the structure information of graph.
Zhang, Wenyu, Hu, Jian, Ding, Qing, Ma, Yi, Lu, Mingzhe   +4 more
core  

Fast Charge–Discharge of LiNi0.9Co0.05Mn0.05 Enabled by a Bikitaite‐Infused Separator for Li Metal Batteries

Advanced Functional Materials, EarlyView.
A bikitaite‐infused cellulose separator is introduced for Li metal batteries, leveraging bikitaite zeolite's ion‐conductive properties to regulate Li+‐ion flux and suppress dendrite growth. The membrane design ensures uniform Li plating, enhanced electrolyte wettability, and robust thermal/mechanical stability, delivering stable performance and low ...
Isheunesu Phiri, Kennedy Ssendagire, Sun‐Yul Ryou   +2 more
wiley   +1 more source

Towards Deep Attention in Graph Neural Networks: Problems and Remedies

, 2023
Graph neural networks (GNNs) learn the representation of graph-structured data, and their expressiveness can be further enhanced by inferring node relations for propagation.
Shin, Kijung, Lee, Soo Yong, Bu, Fanchen, Yoo, Jaemin   +3 more
core   +1 more source

Multimodal graph neural networks in healthcare: a review of fusion strategies across biomedical domains

Frontiers in Artificial Intelligence
Graph Neural Networks (GNNs) have transformed multimodal healthcare data integration by capturing complex, non-Euclidean relationships across diverse sources such as electronic health records, medical imaging, genomic profiles, and clinical notes.
Maria Vaida, Ziyuan Huang
doaj   +1 more source

Light‐Actuated Fiber‐Climbing Inchworm Robot Toward Endoluminal Navigation

Advanced Functional Materials, EarlyView.
A kirigami‐inspired soft inchworm robot harnesses optical energy from a customized side‐emitting optical fiber, guaranteeing its propulsion along the fiber body. The wavelength‐selective responsiveness of dye‐functionalized liquid crystal elastomers and the application of temporal illumination patterns enable sequential control of robot components. The
Antonio Lobosco, Leilei Song, Fan Liu, Yu‐Hsiang Lin, Venkatasubramanian Kalpathy Venkiteswaran, Hao Zeng, Sarthak Misra   +6 more
wiley   +1 more source

Self‐Healing and Stretchable Synaptic Transistor

Advanced Functional Materials, EarlyView.
A self‐healing stretchable synaptic transistor (3S‐T) is realized using a p‐PVDF‐HFP‐DBP/PDMS‐MPU‐IU bilayer as gate insulator, where dipole‐dipole interaction enhances polarization to achieve a large memory window. Leveraging its neuronal biomimicry, the synaptic transistor demonstrates electrically compatibility with the biological brain. Furthermore,
Hyongsuk Choo, Sangyong Park, Yoonyi Jeong, Jaepyo Jang, Duhwan Seong, In Soo Kim, Myung‐Gil Kim, Mikyung Shin, Minah Suh, Donghee Son, Jin‐Hong Park   +10 more
wiley   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

A graph neural network with negative message passing and uniformity maximization for graph coloring

Complex & Intelligent Systems
Graph neural networks have received increased attention over the past years due to their promising ability to handle graph-structured data, which can be found in many real-world problems such as recommender systems and drug synthesis.
Xiangyu Wang, Xueming Yan, Yaochu Jin
doaj   +1 more source

Toward Fast Proton Shuttling in Acidic Oxygen Evolution Reaction

Advanced Functional Materials, EarlyView.
This review establishes proton transfer dynamics as a descriptor governing acidic OER activity, moving beyond the kinetic constraints derived from the proton coupled electron transfer. We discuss how deprotonation governs classical mechanisms, including adsorbate evolution mechanism (AEM), lattice oxygen mechanism (LOM) and oxide path mechanism (OPM ...
Ashish Gaur, Jaeyeong Kim, Sungwook Mhin, HyukSu Han   +3 more
wiley   +1 more source

Channel-Attentive Graph Neural Networks

2024 IEEE International Conference on Data Mining (ICDM)
Graph Neural Networks (GNNs) set the state-of-the-art in representation learning for graph-structured data. They are used in many domains, from online social networks to complex molecules. Most GNNs leverage the message-passing paradigm and achieve strong performances on various tasks.
Tugrul Hasan Karabulut, Inci M. Baytas
openaire   +2 more sources