Heterogeneous Node Classification

Heterogeneous node classification refers to the task of classifying nodes with multiple types of attributes in a heterogeneous graph. The goal is to accurately predict the category labels of each node by analyzing the complex relationships and multi-type features between nodes. This task has significant application value in social network analysis, recommendation systems, and knowledge graph construction, effectively enhancing the accuracy and efficiency of information mining and decision support.