3 papers
cs.LG2026
Towards Adversarially Robust Multigraph Neural Networks for Financial Crime Analysis
Dennis Heijmans, H. Çağrı Bilgi, Rui Wang +1
Financial transaction networks are naturally represented as multigraphs, where repeated transactions between the same pair of accounts are modeled as distinct edges. Recently propo…
cs.CR2026
Privacy-Preserving GNN Inference on Financial Transaction Graphs via Homomorphic Encryption
H. Çağrı Bilgi, Kemal Mutluergil, Ceren Yıldırım +2
Anti-money laundering (AML) in financial networks requires modeling transaction patterns that span multiple institutions. In practice, however, banks cannot share account and trans…
cs.LG2024
MEGA: Message Passing Neural Networks for Multigraphs with EdGe Attributes
H. Çağrı Bilgi, Kubilay Atasu
Edge-attributed multigraphs, in which multiple edges with distinct attributes connect the same pair of nodes, arise naturally in many real-world systems. In these graphs, effective…