111 citations · 152 across the 14 of their papers we have counts for
4 papers · 1 filter
GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs
Maria Inês Silva, David Aparício, Beatriz Malveiro +2
Large, dense, small-world networks often emerge from social phenomena, including financial networks, social media, or epidemiology. As networks grow in importance, it is often nece…
Finding NeMo: Fishing in banking networks using network motifs
Xavier Fontes, David Aparício, Maria Inês Silva +3
Banking fraud causes billion-dollar losses for banks worldwide. In fraud detection, graphs help understand complex transaction patterns and discovering new fraud schemes. This work…
Temporal Network Comparison using Graphlet-orbit Transitions
David Aparício, Pedro Ribeiro, Fernando Silva
Networks are widely used to model real-world systems and uncover their topological features. Network properties such as the degree distribution and shortest path length have been c…
Network comparison using directed graphlets
David Aparício, Pedro Ribeiro, Fernando Silva
With recent advances in high-throughput cell biology the amount of cellular biological data has grown drastically. Such data is often modeled as graphs (also called networks) and s…