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Link prediction accuracy on real-world networks under non-uniform missing-edge patterns. [PDF]

PLoS One
He X, Ghasemian A, Lee E, Schwarze AC, Clauset A, Mucha PJ.   +5 more
europepmc   +1 more source

Link prediction using low-dimensional node embeddings: The measurement problem. [PDF]

Proc Natl Acad Sci U S A
Menand N, Seshadhri C.
europepmc   +1 more source

Incorporating high-frequency information into edge convolution for link prediction in complex networks. [PDF]

Sci Rep
Zhang Z, Xu H, Zhu G.
europepmc   +1 more source

Link Prediction

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Roman Mathias Link

Link, Roman Mathias
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Link direction for link prediction

Physica A: Statistical Mechanics and Its Applications, 2017
Abstract Almost all previous studies on link prediction have focused on using the properties of the network to predict the existence of links between pairs of nodes. Unfortunately, previous methods rarely consider the role of link direction for link prediction.
Michael Small, Keke Shang
exaly   +2 more sources

Group Link Prediction

2019 IEEE International Conference on Big Data (Big Data), 2019
Due to its universal applications in the domain of social network analysis, e-commerce, and recommendation systems, the task of link prediction has received enormous attention from the data mining and machine learning communities over the last decade.
Andrew Stanhope, Hao Sha 0003, Danielle Barman, Mohammad Al Hasan, George O. Mohler   +4 more
openaire   +2 more sources

Predicting the Link Strength of "Newborn" Links

Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion, 2016
Measurements of online social networks (OSNs) support the common fact that not all links carry the same social value, and that the strength of each link is strictly related to the frequency of interactions between the connected users. In this paper, we investigate the predictability of the interactions on OSN links by wondering if it is possible to ...
Matteo Zignani, Sabrina Gaito, Gian Paolo Rossi 0001   +2 more
openaire   +1 more source