S. Sharov

Attention-guided deep embedding framework for heterogeneous vehicular clustering and cluster head selection in dynamic VANETs

The paper proposes an attention-guided deep embedding framework that jointly models long-range structural interactions and heterogeneous vehicular influence, rather than restricting learning to immediate neighbours, and provides a robust solution for stable V2V communication.