Hicham Attariuas

Hybrid-HGT: A unified deep learning framework for community detection in heterogeneous attributed graphs

A combined HGT-based framework incorporating contrastive representation learning and deep clustering with multi-round training via pseudo-labels is presented, enabling the model to better deal with label scarcity, heterogeneous dependencies, and overlapping semantics in practical, complex, attributed networks.