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 …

Motifs are regarded as network blocks because motifs can be used to present fundamental
patterns in networks. Motif discovery is well applied in various scientific problems, including …

Network data has become widespread, larger, and more complex over the years. Traditional
network data is dyadic, capturing the relations among pairs of entities. With the need to …

We propose a novel hashing scheme for image retrieval, clustering and automatic object
discovery. Unlike commonly used bag-of-words approaches, the spatial extent of image …

The ability to find and count subgraphs of a given network is an important non trivial task
with multidisciplinary applicability. Discovering network motifs or computing graphlet …

A mobile social network (MSN) is a mobile communications system that involves the social
relationship of the users, in such a network, mobile users can spread information, opinions …

The identification of network motifs has important applications in numerous domains, such
as pattern detection in biological networks and graph analysis in digital circuits. However …

Tourist movement patterns among attractions are complex and variable, and understanding
such patterns can help manage tourist destinations more effectively. However, previous …

In recent years, there has been a great interest in studying different aspects of complex
networks in a range of fields. One important local property of networks is network motifs …

Physical and functional constraints on biological networks lead to complex topological
patterns across multiple scales in their organization. A particular type of higher-order …