TrajAware combines action-space pruning, graph cross-attention, and trajectory prediction to achieve near-shortest-path routing in VANETs under partial observations, evaluated across unseen simulated cities.
Graph neural networks for wireless networks: Graph representation, architecture and evaluation,
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TrajAware: Graph Cross-Attention and Trajectory-Aware for Generalisable VANETs under Partial Observations
TrajAware combines action-space pruning, graph cross-attention, and trajectory prediction to achieve near-shortest-path routing in VANETs under partial observations, evaluated across unseen simulated cities.