3 papers
cs.LG2026
Federated Cross-Client Subgraph Pattern Detection
Selin Ceydeli, Rui Wang, Kubilay Atasu
Subgraph pattern detection aims to uncover complex interaction structures in graphs. However, state-of-the-art graph neural network (GNN)-based solutions assume centralized access…
cs.LG2024
Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations
H. ÃaÄrı Bilgi, Lydia Y. Chen, Kubilay Atasu
Graph Neural Networks (GNNs) have seen significant advances in recent years, yet their application to multigraphs, where parallel edges exist between the same pair of nodes, remain…
cs.LG2024
Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection
Jovan Blanuša, Maximo Cravero Baraja, Andreea Anghel +4
In this paper, we present "Graph Feature Preprocessor", a software library for detecting typical money laundering patterns in financial transaction graphs in real time. These patte…