works on
edge features 1graph neural networks 1learning to optimise 1mixed-integer linear programming 1relay selection 1vehicular communications 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.LG2026

Low-Latency Relay Selection in NR-V2X Vehicular Communications via Graph Isomorphism Networks with Edge Features

Giambattista Amati, Federica Mangiatordi, Emiliano Pallotti +3

The paper proposes a graph‑neural‑network approach (GINE) to select relay nodes for low‑latency NR‑V2X communications, using edge features and an offline MILP oracle to train the m…