Results 31 to 40 of about 8,023,305 (265)
The Materials Experiment Knowledge Graph [PDF]
, 2023 Materials knowledge is inherently hierarchical. While high-level descriptors such as composition and structure are valuable for contextualizing materials data, the data must ultimately be considered in the context of its low-level acquisition details ...
Santosh, Suram +5 more
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RubenVerborgh/Knowledge-Graph-Conference-2022: v1.0.0
, 2022 Slides for my talk at the Knowledge Graph Conference ...
Ruben Verborgh
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A Dynamic Convolutional Network-Based Model for Knowledge Graph Completion
Information, 2022 Knowledge graph embedding can learn low-rank vector representations for knowledge graph entities and relations, and has been a main research topic for knowledge graph completion.
Haoliang Peng, Yue Wu
doaj +1 more source
vibhavnirmal/Knowledge-Graph-based-QnA: KW_QnA
, 2023 Knowledge Graph based Question and Answering program to get information from huge amount of ...
Vibhav, vendyv
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Graph-based implicit knowledge discovery from architecture change logs [PDF]
, 2012 Service architectures continuously evolve as a consequence of frequent business and technical change cycles. Architecture change log data represents a source of evolution-centric information in terms of intent, scope and operationalisation to ...
Pooyan Jamshidi (5276344) +12 more
core +2 more sources
MSEN: A Multi-Scale Evolutionary Network for Modeling the Evolution of Temporal Knowledge Graphs
Future Internet, 2023 Temporal knowledge graphs play an increasingly prominent role in scenarios such as social networks, finance, and smart cities. As such, research on temporal knowledge graphs continues to deepen.
Yong Yu +5 more
doaj +1 more source
Journal of Big Data, 2023 The incorporation of data analytics in the healthcare industry has made significant progress, driven by the demand for efficient and effective big data analytics solutions.
Bilal Abu-Salih +5 more
doaj +1 more source
Survey on Inductive Learning for Knowledge Graph Completion [PDF]
Jisuanji kexue yu tansuo, 2023 Knowledge graph completion can make knowledge graph more complete. However, traditional knowledge graph completion methods assume that all test entities and relations appear in the training process.
LIANG Xinyu, SI Guannan, LI Jianxin, TIAN Pengxin, AN Zhaoliang, ZHOU Fengyu
doaj +1 more source
Tuck-KGC: based on tensor decomposition for diabetes knowledge graph completion model integrating Chinese and Western medicine [PDF]
PeerJ Computer ScienceThe medical knowledge graph is essential for intelligent medical services, encompassing personalized diagnostics, precision therapies, and intelligent consultations, among others.
Jiangtao ZhangSun +4 more
doaj +2 more sources
Structured query construction via knowledge graph embedding
, 2022 S.1819-1846In order to facilitate the accesses of general users to knowledge graphs, an increasing effort is being exerted to construct graph-structured queries of given natural language questions.
Decker, S. +4 more
core +1 more source