Ultra reliable, low latency vehicle-to-infrastructure (V2I) communications is a key
requirement for seamless operation of autonomous vehicles (AVs) in future smart cities. To …

Network motifs are the building blocks of complex networks. Studying these frequently
occurring patterns disclose a lot of information about these networks. The applications of …

Timely delivery of critical information and data may reduce the chances of road accidents
using vehicular adhoc networks. The vehicular ad-hoc network uses the multihop data …

Graph Neural Networks (GNNs) are powerful tools for graph representation. However, GNNs
have remained black boxes, leading to the lack of explainability. As a consequence, the …

Device-to-device (D2D) communication is a promising approach to efficiently disseminate
critical or viral information across 5G cellular networks. Rea** the benefits of D2D …

The effective deployment of connected vehicular networks is contingent upon maintaining a
desired performance across spatial and temporal domains. In this paper, a graph-based …

The analysis of the statistical significance of subgraphs is carried out in dealing with solving
the problem of detecting network motif in graphs of large networks. A new generalizing …

Выполняется анализ показателей статистической значимости подграфов при решении
задачи выявления сетевых мотивов в графах больших сетей. Предлагается новый …

Актуальность темы исследования. Исследованию больших сетей в последние два
десятилетия уделяется пристальное внимание. Одной из таких больших сетей …