Link prediction finds missing links (in static networks) or predicts the likelihood of future links
(in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; …

A dynamically weighted directed network (DWDN) is frequently encountered in various big
data-related applications like a terminal interaction pattern analysis system (TIPAS) …

AH igh-D imensional and I ncomplete (HDI) tensor is frequently encountered in a big data-
related application concerning the complex dynamic interactions among numerous entities …

With the rapid evolution of scientific research, there are a huge volume of papers published
every year and the number of scholars is also growing fast. How to effectively predict the …

Traditional link prediction methods are generally only calculated for the neighbor information
of nodes, and the network path between nodes has not been fully utilized. Therefore, this …

Community is a fundamental and highly desired pattern in a Large-scale Undirected
Network (LUN). Community detection is a vital issue when LUN representation learning is …

A Non-negative Latent-factorization-of-tensors model relying on a Nonnegative and
Multiplicative Update on Incomplete Tensors (NMU-IT) algorithm facilitates efficient …

Community describes the functional mechanism of an undirected network, making
community detection a fundamental tool for graph representation learning-related …

Background: Hidradenitis suppurativa (HS) is a chronic, inflammatory and debilitating
dermatosis characterized by painful nodules, sinus tracts and abscesses in apocrine gland …

In social network analysis, link prediction is a fundamental tool to determine new
relationships among users which are most likely to occur in the future. Link prediction by …