Overview of Knowledge Graph Completion Technology and Applications for Deep Learning in Artificial Intelligence
Knowledge graph aims to provide more comprehensive and reliable services for various fields,its value is immeasurable in practical applications,in order to make it constantly updated and complete,knowledge graph completion technology begins to be proposed;In recent years,with the developments of artificial intelligence and deep learning,many scholars at home and abroad con-duct in-depth research on the direction of knowledge graph completion,and proposes many knowledge graph completion models for ar-tificial intelligence deep learning,but there are not many relevant literature reviews.In order to provide a comprehensive understand-ing framework of the field,it helps readers to grasp current research progress and application,which provides some references for fu-ture research and application;By introducing its concept and typical knowledge graph,a current knowledge graph completion model based on deep learning is analyzed and summarized from three perspectives of deep learning knowledge completion technology,and the advantages and disadvantages of different models and the improved model are discussed.At the same time,the problems and challen-ges of current knowledge graph completion tasks are discussed,and the application direction and development prospects of this field are explored.In summary,deep learning has a great exploration value in knowledge graph completion,which urgently requires schol-ars to implement more in-depth research and further innovation.
deep learningknowledge graph completionlink predictionconvolutional neural networkgraph neural network
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维普
