Graph condensation is a technique to improve the training efficiency for graph neural networks (GNNs).Researchers have introduced an effective backdoor attack called BGC against graph condensation.BGC targets representative nodes for poisoning and achieves a high attack success rate.The attack proves resilient against multiple defense methods.