200 citations · 263 across the 14 of their papers we have counts for
14 papers
On GNN explanability with activation rules
Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner +2
GNNs are powerful models based on node representation learning that perform particularly well in many machine learning problems related to graphs. The major obstacle to the deploym…
Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain
Rafael Ramos Tubino, Remy Cazabet, Natkamon Tovanich +1
We study the real economic activity in the Bitcoin blockchain that involves transactions from/to retail users rather than between organizations such as marketplaces, exchanges, or…
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery
Youcef Remil, Anes Bendimerad, Marc Plantevit +2
The need of predictive maintenance comes with an increasing number of incidents reported by monitoring systems and equipment/software users. In the front line, on-call engineers (O…
Graph model selection by edge probability sequential inference
Louis Duvivier, Rémy Cazabet, Céline Robardet
Graphs are widely used for describing systems made up of many interacting components and for understanding the structure of their interactions. Various statistical models exist, wh…
Edge based stochastic block model statistical inference
Louis Duvivier, Rémy Cazabet, Céline Robardet
Community detection in graphs often relies on ad hoc algorithms with no clear specification about the node partition they define as the best, which leads to uninterpretable communi…
Graph space: using both geometric and probabilistic structure to evaluate statistical graph models
Louis Duvivier, Rémy Cazabet, Céline Robardet
Statistical graph models aim at modeling graphs as random realization among a set of possible graphs. One issue is to evaluate whether or not a graph is likely to have been generat…