Large graphs are often used to simulate and model complex systems in various research
and application fields. Because of its importance, frequent subgraph mining (FSM) in single …

Mining frequent subgraphs is an interesting and important problem in the graph mining field,
in that mining frequent subgraphs from a single large graph has been strongly developed …

Graph databases are flexible NoSQL databases used to efficiently store and query complex
and big data. One of the most difficult problems in graph databases is the problem of …

The subgraph matching problem associated with large graphs is an emerging research
challenge in graph search due to the growing size of the web, social, and metabolic graphs …

Graph pattern matching is widely used in real-world applications, such as social network
analysis. Since the traditional subgraph isomorphism is NP-complete and often too …

In modern applications, large graphs are usually applied in the simulation and analysis of
large complex systems such as social networks, computer networks, maps, traffic networks …

As graph models become increasingly prevalent in the processing of scientific data, the
exploration of effective methods for the mining of meaningful patterns from large-scale …

Subgraph isomorphism is one of the most important graph query operations. Existing
subgraph isomorphic parallelization methods suffer from redundant sharing or fine-grained …

Recent developments have accelerated the need to track individual contact behaviours to
counter the pandemic of COVID-19. Various solutions have been implemented to support …

Graph database is designed to store bidirectional relationships between objects and
facilitate the traversal process to extract a subgraph. However, the subgraph matching …