Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

The science of science (SOS) is a rapidly develo** field which aims to understand,
quantify and predict scientific research and the resulting outcomes. The problem is …

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 paradigmatic problem in network science, which aims at estimating the
existence likelihoods of nonobserved links, based on known topology. After a brief …

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 …

Recommender systems are a vital tool that helps us to overcome the information overload
problem. They are being used by most e-commerce web sites and attract the interest of a …

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 …

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 …

Studying networks to predict the emerging interactions is a common research problem for
both fields of network science and machine learning. The problem of predicting future or …

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 …