Network alignment and motif discovery in dynamic networks
P Cinaglia, M Cannataro - … Modeling Analysis in Health Informatics and …, 2022 - Springer
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 …
approaches useful to analyze biological systems. To provide a deep insight into a biological …
Adversarial attacks on deep graph matching
Despite achieving remarkable performance, deep graph learning models, such as node
classification and network embedding, suffer from harassment caused by small adversarial …
classification and network embedding, suffer from harassment caused by small adversarial …
An extensive assessment of network embedding in PPI network alignment
Network alignment is a fundamental task in network analysis. In the biological field, where
the protein–protein interaction (PPI) is represented as a graph, network alignment allowed …
the protein–protein interaction (PPI) is represented as a graph, network alignment allowed …
Data-driven biological network alignment that uses topological, sequence, and functional information
S Gu, T Milenković - BMC bioinformatics, 2021 - Springer
Background Network alignment (NA) can transfer functional knowledge between species'
conserved biological network regions. Traditional NA assumes that it is topological similarity …
conserved biological network regions. Traditional NA assumes that it is topological similarity …
A comprehensive review of global alignment of multiple biological networks: background, applications and open issues
MN Girisha, VP Badiger, S Pattar - Network Modeling Analysis in Health …, 2022 - Springer
Alignment of biological data aims to transfer the functional knowledge across the species by
comparing the data of a well-studied one with that of a less-studied thus gaining insights into …
comparing the data of a well-studied one with that of a less-studied thus gaining insights into …