3 papers
cs.LG2026
Trivial Graph Features and Classical Learning are Enough to Detect Random Anomalies
Matthieu Latapy, Stephany Rajeh
Detecting anomalies in link streams that represent various kinds of interactions is an important research topic with crucial applications. Because of the lack of ground truth data,…
cs.MA2025
Fast and Robust Flocking of Protesters on Street Networks
Guillaume Moinard, Matthieu Latapy
We present a simple model of protesters scattered throughout a city who want to gather into large and mobile groups. This model relies on random walkers on a street network that fo…
physics.soc-ph2025
Improving flocking behaviors in street networks with vision
Guillaume Moinard, Matthieu Latapy
We improve a flocking model on street networks introduced in a previous paper. We expand the field of vision of walkers, making the model more realistic. Under such conditions, we…