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Edge-Nodes Representation Neural Machine for Link Prediction
2019
Algorithms
Link prediction is a task predicting whether there is a link between two nodes in a network. Traditional link prediction methods that assume handcrafted features (such as common neighbors) as the link's formation mechanism are not universal. Other popular methods tend to learn the link's representation, but they cannot represent the link fully. In this paper, we propose Edge-Nodes Representation Neural Machine (ENRNM), a novel method which can learn abundant topological features from the
doi:10.3390/a12010012
fatcat:mvhzpmmuarfvraq2i26busw47y