Explainability-Guided Untargeted Attacks on Knowledge Graph Embedding

Summary

PathAttack is a path-based, explainable untargeted attack framework for knowledge graph embedding (KGE), where an adversary deletes key triplets or injects malicious triplets to degrade learned representations. It replaces predefined target sets with a triplet discovery approach that combines selection across different KGE model types, and weights multi-hop relational paths for adversarial deletion and addition. Experiments on FB15k-237, WN18RR, and OGBL-WikiKG2 show improved effectiveness, including a 5% gain on WN18RR, and scalability to KGs with millions of entities.

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