
HACD is a novel attributed community detection model that leverages heterogeneous graph attention networks to capture semantic similarity between node attributes and exploit mesoscopic community structure for improved performance in community detection tasks.


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hacd-a-heterogeneous-graph-attention-network-for-community-detection-in-attributed-networks-using-attribute-semantics-and-mesoscopic-structure


HACD: A Heterogeneous Graph Attention Network for Community Detection in Attributed Networks Using Attribute Semantics and Mesoscopic Structure
