Results 31 to 40 of about 318,242 (266)
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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Cybersecurity knowledge graphs
Knowledge and Information Systems, 2023 AbstractCybersecurity knowledge graphs, which represent cyber-knowledge with a graph-based data model, provide holistic approaches for processing massive volumes of complex cybersecurity data derived from diverse sources. They can assist security analysts to obtain cyberthreat intelligence, achieve a high level of cyber-situational awareness, discover ...
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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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Methods of Patent Knowledge Graph Construction [PDF]
Jisuanji kexue, 2022 Patent knowledge graph plays a important role in patent accurate retrieval,patent in-depth analysis and patent know-ledge training.This paper proposes a practical patent knowledge graph construction method based on seed knowledge graph,text mining and ...
DENG Liang, CAO Cun-gen
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LifeGraph: A Knowledge Graph for Lifelogs [PDF]
Proceedings of the Third Annual Workshop on Lifelog Search Challenge, 2020 The data produced by efforts such as life logging is commonly multi modal and can have manifold interrelations with itself as well as external information. Representing this data in such a way that these rich relations as well as all the different sources can be leveraged is a non-trivial undertaking.
Rossetto, Luca +5 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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ACM SIGMOD Record, 2023 Knowledge graphs (KGs) such as DBpedia, Freebase, YAGO, Wikidata, and NELL were constructed to store large-scale, real-world facts as (subject, predicate, object) triples - that can also be modeled as a graph, where a node (a subject or an object) represents an entity with attributes, and a directed edge (a predicate) is a relationship between two ...
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Process Knowledge Graph Construction Method for Process Reuse
Xibei Gongye Daxue Xuebao, 2019 Aiming at the problems of process knowledge reuse and sharing led by the difficulty of unified representation of complex and diverse process knowledge, a process knowledge graph construction method for process reuse is proposed.
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Knowledge Graph Reasoning Based on Tensor Decomposition and MHRP-Learning
Advances in Multimedia, 2021 In the process of learning and reasoning knowledge graph, the existing tensor decomposition technology only considers the direct relationship between entities in knowledge graph. However, it ignores the characteristics of the graph structure of knowledge
Tangsen Huang +3 more
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