Results 131 to 140 of about 8,119,426 (288)

Multi-Task Learning and Improved TextRank for Knowledge Graph Completion. [PDF]

Entropy (Basel), 2022
Tian H, Zhang X, Wang Y, Zeng D.
europepmc   +1 more source

Bioprinted Stiffness‑Tunable Pancreatic Microniches to Decode Early Tumor Initiation Mechanisms

Advanced Healthcare Materials, EarlyView.
Stiffness‐tunable GelMA microniches generated by microvalve bioprinting preserve wild‐type acinar identity while revealing a nonlinear, Kras‐dependent response to matrix mechanics. Intermediate stiffness promotes acinar‐to‐ductal metaplasia and proliferation, defining a permissive mechanical window.
Aurelien Mazet, Charles Handschin, Theo Desigaux, Nathalie Dusserre, Marie‐Laure Stachowicz, Shane Fennell, Malou Lea, Silvia Arcucci, Benoît Thibault, Jean‐Christophe Fricain, Julie Guillermet‐Guibert, Hugo Oliveira   +11 more
wiley   +1 more source

Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion. [PDF]

BMC Med Inform Decis Mak, 2021
Lan Y, He S, Liu K, Zeng X, Liu S, Zhao J.   +5 more
europepmc   +1 more source

ContxE: Attention-based Context Aggregation for Temporal Knowledge Graph Completion

ContxE: Attention-based Context Aggregation for Temporal Knowledge Graph ...
Borui Cai (14042361), Yong Xiang (13101027), Longxiang Gao (13354656), Jiong Jin (13364769), Junfeng Wu (23234), Tom Luan (19534030)   +5 more
core  

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

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

ISA-KGC: Integrated Semantics-Structure Analysis in Knowledge Graph Completion

IEEE Access
This paper presents Integrated Semantics-Structure Analysis in Knowledge Graph Completion (ISA-KGC), a new framework for Knowledge Graph Completion (KGC) aimed at addressing the incompleteness of knowledge graphs (KGs).
Xingyu Liu, Zhenxing Wang, Yue Sun, Junmei Han, Gang Xiao, Jianchun Jiang   +5 more
doaj   +1 more source

Knowledge Graph

, 2018
This Wikipedia entry describes the Knowledge Graph as a knowledge base by Google. It enhances the search engine's results by gathering information from a variety of sources.
Wikipedia, HostingInstitution, Wikipedia
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

A Novel Encoder-Decoder Knowledge Graph Completion Model for Robot Brain. [PDF]

Front Neurorobot, 2021
Song Y, Li A, Tu H, Chen K, Li C.
europepmc   +1 more source

How “Green” is Your Functional Material? Assessing Environmental Impacts of Multi‐Step Synthetic Protocols in Material Sciences at Various Technology Levels

Advanced Materials, EarlyView.
Environmental Synthesis Radar (ESR) evaluates the environmental impact of (early‐stage) multi‐step chemical syntheses, providing a holistic view by using 18 midpoint impact categories. Unlike conventional life‐cycle assessment (LCA) approaches, ESR reveals three complementary metrics: overall impact Vtotal, environmental hotspots VEF, and critical ...
Laura Plein, Alexander Schommer, Florian Dietrich, Moritz Gutsch, Heike Klesper, Kevin Schuller, Lars Jahnke, Jens Leker, Klaus Meerholz   +8 more
wiley   +1 more source