9 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2023
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…
cs.DS2023
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…
cs.DC2022★ 9 cited
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…