Full Walk through Building The Donors' Graph: The donors' graph is a graph which contains all the donors (the search space). It implemented using a LOL (List of Lists) representation written in cython ...

In order to study the application effect of graph pattern matching in medical field, Li et al. (2024) introduced the concept of probability graph pattern matching specially applicable to lung cancer ...

Classical graph matching aims to find a node correspondence between two unlabeled graphs of known topologies. This problem has a wide range of applications, from matching identities in social networks ...

Graph matching remains a core challenge in computer vision, where establishing correspondences between features is crucial for tasks such as object recognition, 3D reconstruction and scene ...

Abstract The bipartite Star123 -free graphs were introduced by V. Lozin in [1] to generalize some already known classes of bipartite graphs. In this paper, we extend to bipartite Star123 -free graphs ...

The ability to handle large scale graph data is crucial to an increasing number of applications. Much work has been dedicated to supporting basic graph operations such as subgraph matching, ...

Function-described graphs (FDG) have been introduced by the authors as a representation of an ensemble of attributed graphs (AG) for structural pattern recognition alternative to first-order random ...

The donors' graph is a graph which contains all the donors (the search space). It implemented using a LOL (List of Lists) representation written in cython for better time and memory efficiency. The ...

Isomorphic pattern matching requires a double-shot function to ensure that the topology of the matching subgraph perfectly reflects the pattern graph. Typical algorithms include VF2 (Foggia et al., ...