ZeroGAR: Benchmarking the Adversarial Robustness of Zero-Shot Graph Models.

arXiv:2609.33314v1 Announce Type: cross Abstract: Zero-shot graph models (ZGMs), which learn transferable knowledge from source graphs and directly apply to unseen target graphs without any adaptation, have achieved promising performance and attracted consider