Deep Learning for Link Prediction in Dynamic Networks Using Weak Estimators

Deep Learning for Link Prediction in Dynamic Networks Using Weak Estimators

Link prediction is the task of evaluating the probability that an edge exists in a network, and it has useful applications in many domains. Traditional approaches rely on measuring the similarity between two nodes in a static context. Recent research has focused on extending link prediction to a dyn...

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Bibliographic Details
Main Authors: Carter Chiu, Justin Zhan
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Deep learning
link prediction
dynamic networks
weak estimators
similarity metrics
Online Access:https://ieeexplore.ieee.org/document/8379423/

Internet

https://ieeexplore.ieee.org/document/8379423/

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