14 citations · 49 across the 8 of their papers we have counts for
9 papers
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
Erik Altman, Jovan Blanuša, Luc von Niederhäusern +3
With the widespread digitization of finance and the increasing popularity of cryptocurrencies, the sophistication of fraud schemes devised by cybercriminals is growing. Money laund…
Provably Powerful Graph Neural Networks for Directed Multigraphs
Béni Egressy, Luc von Niederhäusern, Jovan Blanusa +3
This paper analyses a set of simple adaptations that transform standard message-passing Graph Neural Networks (GNN) into provably powerful directed multigraph neural networks. The…
Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-Constrained Cycles
Jovan Blanuša, Kubilay Atasu, Paolo Ienne
Cycles are one of the fundamental subgraph patterns and being able to enumerate them in graphs enables important applications in a wide variety of fields, including finance, biolog…
Scalable Fine-Grained Parallel Cycle Enumeration Algorithms
Jovan Blanuša, Paolo Ienne, Kubilay Atasu
Enumerating simple cycles has important applications in computational biology, network science, and financial crime analysis. In this work, we focus on parallelising the state-of-t…
Low-Complexity Data-Parallel Earth Mover's Distance Approximations
Kubilay Atasu, Thomas Mittelholzer
The Earth Mover's Distance (EMD) is a state-of-the art metric for comparing discrete probability distributions, but its high distinguishability comes at a high cost in computationa…
Giving Text Analytics a Boost
Raphael Polig, Kubilay Atasu, Laura Chiticariu +5
The amount of textual data has reached a new scale and continues to grow at an unprecedented rate. IBM's SystemT software is a powerful text analytics system, which offers a query-…