314 citations · 444 across the 20 of their papers we have counts for
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cs.SI2019
HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs
Vincenzo Perri, Ingo Scholtes
Network visualisation techniques are important tools for the exploratory analysis of complex systems. While these methods are regularly applied to visualise data on complex network…
cs.SI2019★ 1 cited
Counting Causal Paths in Big Times Series Data on Networks
Luka V. Petrovic, Ingo Scholtes
Graph or network representations are an important foundation for data mining and machine learning tasks in relational data. Many tools of network analysis, like centrality measures…
cs.SI2019★ 17 cited
HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks
Timothy LaRock, Vahan Nanumyan, Ingo Scholtes +3
The unsupervised detection of anomalies in time series data has important applications in user behavioral modeling, fraud detection, and cybersecurity. Anomaly detection has, in fa…