Graph Matching is a process in computer science and mathematics where two graphs are compared to identify a correspondence between their vertices and edges. This is useful in various applications, such as pattern recognition, social network analysis, and computer vision, where the goal is to find similarities or align structures. The main challenge in Graph Matching is to determine whether there is a one-to-one mapping between the nodes of the graphs that preserves the connections. Different algorithms exist to solve this problem, including exact methods and approximate techniques, each with its own strengths and weaknesses depending on the complexity of the graphs involved.