Results 41 to 50 of about 7,291,916 (317)
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
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KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion [PDF]
Conference on Empirical Methods in Natural Language ProcessingKnowledge Graph Completion (KGC) is crucial for addressing knowledge graph incompleteness and supporting downstream applications. Many models have been proposed for KGC.
Yanbin Wei +3 more
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Building a knowledge graph to enable precision medicine
bioRxiv, 2022 Measurement(s) knowledge graph • Relation Code • textual entity Technology Type(s) machine learning • computational modeling technique Developing personalized diagnostic strategies and targeted treatments requires a deep understanding of disease biology ...
P. Chandak, Kexin Huang, M. Zitnik
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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
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Mining health knowledge graph for health risk prediction [PDF]
, 2020 Nowadays classification models have been widely adopted in healthcare, aiming at supporting practitioners for disease diagnosis and human error reduction. The challenge is utilising effective methods to mine real-world data in the medical domain, as many
Cai, Yi +6 more
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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
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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
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Collective knowledge graph: meta knowledge transfer and federated graph reasoning
智能科学与技术学报, 2022 Collective knowledge graphs refer to knowledge graphs that are managed and maintained in a decentralized or distributed manner through group collaboration.Compared with the existing centrally managed knowledge graph, the collective knowledge graph has ...
Mingyang CHEN +4 more
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RAGAT: Relation Aware Graph Attention Network for Knowledge Graph Completion
IEEE Access, 2021 Knowledge graph completion (KGC) is the task of predicting missing links based on known triples for knowledge graphs. Several recent works suggest that Graph Neural Networks (GNN) that exploit graph structures achieve promising performance on KGC.
Xiyang Liu +3 more
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Survey on Large Scale Enterprise-level Knowledge Graph Practices [PDF]
Jisuanji gongcheng, 2020 In recent years,knowledge graph and its related technologies have developed rapidly and have been widely used in various cognitive intelligence scenarios in industry.This paper gives a brief description of researches in knowledge graph,and on this basis ...
WANG Haofen, DING Jun, HU Fanghuai, WANG Xin
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