arxivcs.LGcs.DB2026-07-08
Structural Adversarial Attacks on Relational Deep Learning under Integrity Constraints
Alan Gany, Bogdan Cautis, Silviu Maniu
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…