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A Survey Of Link Prediction In Social Network Using Deep Learning Approach

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dc.contributor.author Prajapati, Kalpana
dc.contributor.author Shah, Harshal
dc.contributor.author Mehta, Rutvik
dc.date.accessioned 2020-11-13T10:34:07Z
dc.date.available 2020-11-13T10:34:07Z
dc.date.issued 2020-04
dc.identifier.issn 2277-8616
dc.identifier.uri http://ir.paruluniversity.ac.in:8080/xmlui/handle/123456789/7878
dc.description.abstract In recent days social networks grow at every timestamp. Peoples are communicating with each other through social applications. So link prediction is the research trend in the current era. Through this link prediction, more people can connect with each other for communication-based on their similar features. In this area various machine learning techniques like supervised and unsupervised learning are used to improve the performance and similarities based features. Hence, Deep learning models are used to give better results as we take various analyses of research papers. en_US
dc.language.iso en en_US
dc.publisher INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH | VOLUME-9 | ISSUE-4 en_US
dc.subject Deep Learning en_US
dc.subject Deep walk en_US
dc.subject Line en_US
dc.subject Link prediction en_US
dc.subject Network embedding en_US
dc.subject Social network en_US
dc.title A Survey Of Link Prediction In Social Network Using Deep Learning Approach en_US
dc.type Article en_US


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