Results 131 to 140 of about 8,023,305 (265)
The rise of graph-structured data has driven major advances in Graph Machine Learning (GML), where graph embeddings (GEs) map features from Knowledge Graphs (KGs) into vector spaces, enabling tasks like node classification and link prediction.
Napoli, Rosario +4 more
core +1 more source
MGKGR: Multimodal Semantic Fusion for Geographic Knowledge Graph Representation
AlgorithmsGeographic knowledge graph representation learning embeds entities and relationships in geographic knowledge graphs into a low-dimensional continuous vector space, which serves as a basic method that bridges geographic knowledge graphs and geographic ...
Jianqiang Zhang +4 more
doaj +1 more source
GeS as an Emerging OTS Material: Atomic Structure and Modeling of ON/OFF Switching
Advanced Functional Materials, EarlyView.The structural puzzle of glassy GeS, an advanced memory‐selector material, has finally been disentangled, revealing a patchwork of mixed tetrahedral and trigonal species. Under a high electric field, over‐ and under‐coordinated Ge and S defects, together with three‐membered rings, form an interconnected network associated with localized and extended ...
Andrey Tverjanovich +13 more
wiley +1 more source
Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science.
core
Configuration‐Encoded Cell Alignment by Light‐Gated Silicon Photovoltaic Microcell Arrays
Advanced Functional Materials, EarlyView.Light‐gated silicon photovoltaic microcells convert pulsed illumination into localized electrical cues. Arranging otherwise similar microcells into four‐lobed, six‐lobed, or circular patterns directs fibroblasts into corresponding local arrangements without wired stimulation.
Yifan Tao +7 more
wiley +1 more source
Federated Learning FedLTailor: A Dynamic Weight Adjustment and Personalized Fusion Approach
IEEE AccessIn this study, we primarily address the issue of uneven quality of client embeddings in existing federated learning frameworks for knowledge graph completion.
Hong Zheng, Shanqin Li
doaj +1 more source
A Miniaturized Autonomous Thermomagnetic Generator
Advanced Functional Materials, EarlyView.Micro, autonomous and high power thermomagnetic generator operating between a heat dissipator and a processor. ABSTRACT Thermomagnetic generators (TMG) are promising devices for converting low‐grade waste heat into electricity. Self‐actuation using permanent magnets is the key to autonomy.
Morgan Almanza +11 more
wiley +1 more source
Endosomal Escape of siRNA Polyplexes: A Molecular Dynamics Perspective on Underlying Mechanisms
Advanced Functional Materials, EarlyView.Molecular dynamics simulations reveal distinct endosomal escape mechanisms of siRNA nanoparticles, ranging from electrostatic membrane attachment to hydrophobic membrane fusion. Hydrophobic residues and anionic endosomal lipids emerge as key determinants of membrane disruption, linking molecular interactions to experimental delivery performance and ...
Katharina M. Steinegger +5 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj +23 more
wiley +1 more source
Advanced Materials, EarlyView.The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source