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 systems and massive amounts of data present a huge challenge for modern
chemical enterprises, but traditional data statistical analysis and data mining methods have …

Entity-oriented search tasks heavily rely on exploiting unstructured and structured
collections. Moreover, it is frequent for text corpora and knowledge bases to provide …

Motivation Network alignment (NA) finds conserved regions between two networks. NA
methods optimize node conservation (NC) and edge conservation. Dynamic graphlet …

Human aging is linked to many prevalent diseases. The aging process is highly influenced
by genetic factors. Hence, it is important to identify human aging-related genes. We focus on …

Precision medicine has received attention both in and outside the clinic. We focus on the
latter, by exploiting the relationship between individuals' social interactions and their mental …

Protein structural classification (PSC) is a supervised problem of assigning proteins into pre‐
defined structural (eg, CATH or SCOPe) classes based on the proteins' sequence or 3D …

Background This study focuses on the task of supervised prediction of aging-related genes
from-omics data. Unlike gene expression methods for this task that capture aging-specific …

When information is (implicitly or explicitly) linked in its own nature, and is modeled as a
network, retrieving patterns can benefit from this linked structure. In networks,“graphlets” …

Graphs are widely used for modeling various types of interactions, such as email
communications and online discussions. Many of such real-world graphs are temporal, and …