Background The governance of health systems is complex in nature due to several
intertwined and multi-dimensional factors contributing to it. Recent challenges of health …

Abstract In recent times, Symmetric Nonnegative Matrix Factorization (SNMF), a derivative of
Nonnegative Matrix Factorization (NMF), has surfaced as a promising technique for graph …

Abstract Semi-Supervised Graph Clustering (SSGC) has emerged as a pivotal field at the
intersection of graph clustering and semi-supervised learning (SSL), offering innovative …

Network clustering is one of the fundamental unsupervised methods of knowledge
discovery. Its goal is to group similar nodes together without supervision or prior knowledge …

Attributed graph clustering, the task of grouping nodes into communities using both graph
structure and node attributes, is a fundamental problem in graph analysis. Recent …

Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that presents
challenges in communication, social interaction, repetitive behaviour, and limited interests …

The influence of the node refers to the ability of the node to disseminate information. The
faster and wider the node spreads, the greater its influence. There are many classical …

Community search (CS) over attributed heterogeneous information networks (AHINs) takes
both network structure and attributes of nodes into consideration, which can support …

In recent years, the issue of spreading rumors as a big challenge in social networks has
attracted a lot of attention. The spread of rumors on social networks is remarkably fast, and …

Nowadays, fog computing has joined cloud computing as an emerging computing paradigm
to provide resources at the edge of the network, as centralized clouds face challenges such …