268 citations · 743 across the 33 of their papers we have counts for
33 papers
Maintenance of Structural Hole Spanners in Dynamic Networks
Diksha Goel, Hong Shen, Hui Tian +1
Structural Hole (SH) spanners are the set of users who bridge different groups of users and are vital in numerous applications. Despite their importance, existing work for identify…
The hadronic equation of state of HESS J1731-347 from the relativistic mean-field model with tensor coupling
Kaixuan Huang, Jinniu Hu, Ying Zhang +1
A recent report has identified a central compact object (CCO) within the supernova remnant HESS J1731-347, with a mass and radius of and $R=10.4^{+…
Nonparametric model for the equations of state of neutron star from deep neural network
Wenjie Zhou, Jinniu Hu, Ying Zhang +1
It is of great interest to understand the equation of state (EOS) of the neutron star (NS), whose core includes highly dense matter. However, there are large uncertainties in the t…
Equation of state of nuclear matter and neutron stars: Quark mean-field model versus relativistic mean-field model
Zhenyu Zhu, Ang Li, Jinniu Hu +1
The equation of state of neutron-rich nuclear matter is of interest to both nuclear physics and astrophysics. We have demonstrated the consistency between laboratory and astrophysi…
Discovering Top-k Structural Hole Spanners in Dynamic Networks
Diksha Goel, Hong Shen, Hui Tian +1
Structural Hole (SH) theory states that the node which acts as a connecting link among otherwise disconnected communities gets positional advantages in the network. These nodes are…
Effective Graph-Neural-Network based Models for Discovering Structural Hole Spanners in Large-Scale and Diverse Networks
Diksha Goel, Hong Shen, Hui Tian +1
A Structural Hole Spanner (SHS) is a set of nodes in a network that act as a bridge among different otherwise disconnected communities. Numerous solutions have been proposed to dis…