Graph Mining

Graph Mining refers to the process of extracting useful patterns and knowledge from graph-structured data. Its goal is to uncover hidden regularities and structural characteristics within graphs by analyzing nodes, edges, and their attributes, thereby supporting the modeling and optimization of complex networks. Graph Mining has significant application value in areas such as social network analysis, bioinformatics, and recommendation systems, effectively enhancing the accuracy and efficiency of data-driven decision-making.