The goal of pathway analysis is to identify the pathways significantly impacted in a given
phenotype. Many current methods are based on algorithms that consider pathways as …

Link recommendation has attracted significant attention from both industry practitioners and
academic researchers. In industry, link recommendation has become a standard and most …

Link prediction is a popular research area with important applications in a variety of
disciplines, including biology, social science, security, and medicine. The fundamental …

Clustering a graph, ie, assigning its nodes to groups, is an important operation whose best
known application is the discovery of communities in social networks. Graph clustering and …

Motivation: Assessing functional associations between an experimentally derived gene or
protein set of interest and a database of known gene/protein sets is a common task in the …

The increasing popularity of social media has attracted a huge number of people to
participate in numerous activities on a daily basis. This results in tremendous amounts of …

The effects of social influence and homophily suggest that both network structure and node-
attribute information should inform the tasks of link prediction and node-attribute inference …

The popularization of GPS-enabled mobile devices provides social network researchers a
taste of cyber-physical social network in advance. Traditional link prediction methods are …

Landing probabilities (LP) of random walks (RW) over graphs encode rich information
regarding graph topology. Generalized PageRanks (GPR), which represent weighted sums …

Recommender systems elicit the interests and preferences of individuals and make
recommendations accordingly, a main challenge for expert and intelligent systems. An …