[HTML][HTML] Effective graph-neural-network based models for discovering Structural Hole Spanners in large-scale and diverse networks
Abstract A Structural Hole Spanner (SHS) is a set of nodes in a network that act as a bridge
among different otherwise disconnected communities. While several solutions exist for SHS …
among different otherwise disconnected communities. While several solutions exist for SHS …
Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion
D Goel - arxiv preprint arxiv:2310.10667, 2023 - arxiv.org
With the burgeoning advancements of computing and network communication technologies,
network infrastructures and their application environments have become increasingly …
network infrastructures and their application environments have become increasingly …
Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks
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 …
otherwise disconnected communities gets positional advantages in the network. These …