LinkPred: a high performance library for link prediction in complex networks.

ABSTRACT: The problem of determining the likelihood of the existence of a link between two nodes in a network is called link prediction. This is made possible thanks to the existence of a topological structure in most real-life networks. In other words, the topologies of networked systems such as the World Wide Web, the Internet, metabolic networks, and human society are far from random, which implies that partial observations of these networks can be used to infer information about undiscovered interactions. Significant research efforts have been invested into the development of link prediction algorithms, and some researchers have made the implementation of their methods available to the research community. These implementations, however, are often written in different languages and use different

SUBMITTER: Kerrache S 

PROVIDER: S-EPMC8157017 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature