Nettsider med emneord «anomaly detection»

In this thesis, you will investigate how modern structure-aware machine learning techniques can be applied to practical challenges usually approached using classic symbolic AI techniques. Specifically, you will develop novel algorithms based on graph neural networks (GNNs) for anomaly detection in knowledge graphs, and test them against existing approaches in synthetic and real-life settings.