Parallelizing Maximal Clique Enumeration on Modern Manycore Processors. - Jovan Blanusa; Radu Stoica; Paolo Ienne; Kubilay Atasu (IPDPS Workshops, 2020)

Many-Core Clique Enumeration with Fast Set Intersections. - Jovan Blanusa; Radu Stoica; Paolo Ienne; Kubilay Atasu (Proc. VLDB Endow., 2020)

Scalable Fine-Grained Parallel Cycle Enumeration Algorithms. - Jovan Blanusa; Paolo Ienne; Kubilay Atasu (SPAA, 2022)

Realistic Synthetic Financial Transactions for Anti-Money Laundering Models. - Erik R. Altman; Jovan Blanusa; Luc von Niederhäusern; Beni Egressy; Andreea Anghel; Kubilay Atasu (NeurIPS, 2023)

Realistic Synthetic Financial Transactions for Anti-Money Laundering Models. - Erik R. Altman; Béni Egressy; Jovan Blanusa; Kubilay Atasu (CoRR, 2023)

Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-constrained Cycles. - Jovan Blanusa; Kubilay Atasu; Paolo Ienne (ACM Trans. Parallel Comput., 2023)

Provably Powerful Graph Neural Networks for Directed Multigraphs. - Béni Egressy; Luc von Niederhäusern; Jovan Blanusa; Erik R. Altman; Roger Wattenhofer; Kubilay Atasu (AAAI, 2024)

Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection. - Jovan Blanusa; Maximo Cravero Baraja; Andreea Anghel; Luc von Niederhäusern; Erik R. Altman; Haris Pozidis; Kubilay Atasu (ICAIF, 2024)

Graph Feature Preprocessor: Real-time Extraction of Subgraph-based Features from Transaction Graphs. - Jovan Blanusa; Maximo Cravero Baraja; Andreea Anghel; Luc von Niederhäusern; Erik R. Altman; Haris Pozidis; Kubilay Atasu (CoRR, 2024)