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Interactomes such as Protein interaction networks have many undiscovered links between
entities. Experimental verification of every link in these networks is prohibitively expensive …

Link prediction, a fundamental task on graphs, has proven indispensable in various
applications, eg, friend recommendation, protein analysis, and drug interaction prediction …

To enhance documentation and maintenance practices, developers conventionally establish
links between related software artifacts manually. Empirical research has revealed that …

Protein interaction networks (PINs) are often used to “learn” new biological function from
their topology. Since current PINs are noisy, their computational de-noising via link …

Throughout the last decade, machine learning has incurred exciting developments and, as a
result, has been applied in a variety of applications such as wireless communications, image …

Most real-world networks are incompletely observed. Algorithms that can accurately predict
which links are missing can dramatically speed up network data collection and improve …

Higher-order link prediction (HOLP) seeks missing links capturing dependencies among
three or more network nodes. Predicting high-order links (HOLs) can for instance reveal …

Functional interactions between brain regions can be viewed as a network, empowering
neuroscientists to leverage network science to investigate distributed brain function …