Graph Similarity

Graph Similarity refers to the method of measuring the degree of similarity between two graph structures, aiming to quantify the differences between graphs by calculating the matching degree of nodes, edges, and their attributes. Its core objective is to provide an effective means for identifying and comparing patterns and structures in complex networks. Graph Similarity has significant application value in social network analysis, bioinformatics, recommendation systems, and other fields, helping researchers and engineers discover potential associations, optimize algorithm performance, and improve data processing efficiency.