arXiv Machine Learning July 9, 2026 By Alan Gany, Bogdan Cautis, Silviu Maniu

Structural Adversarial Attacks on Relational Deep Learning under Integrity Constraints

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arXiv:2607. 07089v1 Announce Type: new Abstract: Relational Deep Learning (RDL) has become a standard methodology for machine learning on relational databases: the database is encoded as a heterogeneous temporal graph in which tuples become nodes and primary-key to foreign-key (PK-FK) dependencies become typed edges, over which a graph neural network is trained for downstream prediction.

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