In social networks, link prediction predicts missing links in current networks and new or
dissolution links in future networks, is important for mining and analyzing the evolution of …

Link prediction is a technique to forecast future new or missing relationships between
entities based on the current network information. Graph theory and network science are …

The evolutionary behavior of temporal networks has gained the attention of researchers with
its ubiquitous applications in a variety of real-world scenarios. Learning evolutionary …

The Jaccard similarity index is an important measure of the overlap of two sets, widely used
in machine learning, computational genomics, information retrieval, and many other areas …

A growing trend of using social networking sites is attracting researchers to study and
analyze different aspects of social network. Besides many problems, link prediction is a …

Link prediction has received increased attention in social network analysis. One of the
unique challenges in heterogeneous social networks is link prediction in new link types …

Thanks to the proliferation of online social networks, it has become conventional for
researchers to communicate and collaborate with each other. Meanwhile, one critical …

Multiplex link prediction is the problem of finding missing links between nodes based on
information from other layers. Although the link prediction problem in the online social …

Link prediction is a fundamental research problem in network data analysis. Networks
usually contain rich node-to-node topological metrics and their effective use is crucial to …

As an important technology of social network analysis, link prediction is widely applied in
computer science and many other fields. Link prediction can be used to detect missing links …