HGBA is a backdoor attack against heterogeneous graph neural networks that uses a single relation-based trigger edge to achieve high attack success with low budget and resistance to defenses.
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Heterogeneous Graph Backdoor Attack
HGBA is a backdoor attack against heterogeneous graph neural networks that uses a single relation-based trigger edge to achieve high attack success with low budget and resistance to defenses.