scholarly journals Deep Learning for Link Prediction in Dynamic Networks Using Weak Estimators

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 35937-35945 ◽  
Author(s):  
Carter Chiu ◽  
Justin Zhan
Keyword(s):  
Deep Learning ◽  
Link Prediction ◽  
Dynamic Networks

Network embedding based link prediction in dynamic networks

2021 ◽  
Author(s):  
Shashi Prakash Tripathi ◽  
Rahul Kumar Yadav ◽  
Abhay Kumar Rai
Keyword(s):  
Link Prediction ◽  
Dynamic Networks ◽  
Network Embedding

scholarly journals DeepOSN: Bringing deep learning as malicious detection scheme in online social network

2020 ◽  
Vol 9 (1) ◽  
pp. 146
Author(s):  
Putra Wanda ◽  
Marselina Endah Hiswati ◽  
Huang J. Jie
Keyword(s):  
Social Networks ◽  
Computer Vision ◽  
Deep Learning ◽  
Online Social Networks ◽  
Link Prediction ◽  
Online Social Network ◽  
Detection Scheme ◽  
Malicious Activity ◽  
Manual Analysis ◽  
Learning Techniques

Manual analysis for malicious prediction in Online Social Networks (OSN) is time-consuming and costly. With growing users within the environment, it becomes one of the main obstacles. Deep learning is growing algorithm that gains a big success in computer vision problem. Currently, many research communities have proposed deep learning techniques to automate security tasks, including anomalous detection, malicious link prediction, and intrusion detection in OSN. Notably, this article describes how deep learning makes the OSN security technique more intelligent for detecting malicious activity by establishing a classifier model.

scholarly journals Nonparametric link prediction in large scale dynamic networks

2014 ◽  
Vol 8 (2) ◽  
pp. 2022-2065 ◽  
Author(s):  
Purnamrita Sarkar ◽  
Deepayan Chakrabarti ◽  
Michael Jordan
Keyword(s):  
Link Prediction ◽  
Large Scale ◽  
Dynamic Networks
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