Feature Based Link Prediction Model Using Deep Learning
3 Pages Posted: 7 Apr 2020
Date Written: April 4, 2020
Abstract
Link Prediction in social network defines as the task to estimate the probability that a link exists between two nodes or not and it has been used widely in different areas. Many approaches have used machine learning to predict new links between two nodes and have focused on structural features of a network. In this paper we use have also used feature based model and proposed a Deep Learning model to identify a link. The DNN Classifier has been compared with traditional classifier and for performance evaluation two datasets, Karate club dataset and Dolphin dataset has been considered. The experimental result stipulates that the proposed Deep learning approach gives better performance regarding predicting a link when compared with other classifiers.
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