Computing subgraph frequencies is a fundamental task that lies at the core of several
network analysis methodologies, such as network motifs and graphlet-based metrics, which …

Complex networks are frequently employed to model physical or virtual complex systems.
When certain entities exist across multiple systems simultaneously, unveiling their …

Network biology is an interdisciplinary field bridging computational and biological sciences
that has proved pivotal in advancing the understanding of cellular functions and diseases …

In the-omics era, bioinformatics technologies allowed the development of several
approaches useful to analyze biological systems. To provide a deep insight into a biological …

Multilayer networks prove highly effective in scenarios where objects of different entities
require a heterogeneity of types of interaction. Briefly, a multilayer network consists of nodes …

The use of static graphs for modelling and analysis of biological and biomedical data plays a
key role in biomedical research. However, many real-world scenarios present dynamic …

Social network alignment, aligning different social networks on their common users, is
receiving increasing attention from both academic and industry. Most of the existing studies …

In recent years, with the emergence of big-data and high-throughput biological analyses,
massive biological data have been generated and accessed, and many heuristic and …

Social network alignment, aligning different social networks on their common users, is
receiving dramatic attention from both academic and industry. All existing studies consider …

In this paper, we study the task of cross-temporal snapshot alignment for dynamic networks.
The goal of this task is to match equivalent nodes across temporal snapshots of a given …