Structured Neural Marked Point Processes for Interpretable Event Interaction Modeling

ArXi:2605.17568v1 Announce Type: new Multi-class event streams arise in numerous real-world applications, where uncovering structured, interpretable inter-event relationships, together with accurate prediction, remains a central challenge. Existing neural point process models are highly expressive but encode event interactions in a black-box manner, preventing explicit discovery of structured dependencies.