Graph sampling is a technique to pick a subset of vertices and/or edges from original graph.
It has a wide spectrum of applications, eg survey hidden population in sociology [54] …

Abstract We introduce Graph of Thoughts (GoT): a framework that advances prompting
capabilities in large language models (LLMs) beyond those offered by paradigms such as …

With the prevalence of social media, there has recently been a proliferation of
recommenders that shift their focus from individual modeling to group recommendation …

A network is a collection of nodes and edges, where an edge connects two nodes. Many
social, natural and engineered systems can be represented as networks. Examples include …

The success of deep convolutional neural networks in the domains of computer vision and
speech recognition has led researchers to investigate generalizations of the said …

Research in computer-mediated communication has consistently asserted that Facebook
use is positively correlated with social capital. This research has drawn primarily on …

Purpose Against the background of growing concerns that development interventions can
sometimes be a zero sum game, the purpose of this paper is to examine the unintended …

Nowadays, social network analysis attracts more interest from the scientific community.
However, it becomes trickier to analyse the generated data by the social networks due to …

Important graph mining problems such as Clustering are computationally demanding. To
significantly accelerate these problems, we propose ProbGraph: a graph representation that …

Complex systems made of interacting elements are commonly abstracted as networks, in
which nodes are associated with dynamic state variables, whose evolution is driven by …