Researchers propose GPEvac, a graph neural network (GNN) based framework for adaptive evacuation routing during shooting events. The system uses a learnable virtual global node and a permutation-invariant scoring mechanism to compute optimal evacuation routes in real-time. It outperforms intelligent baselines and can be applied to various graph-structured decision-making domains.