Stochastic Event Prediction via Temporal Motif Transitions

ArXi:2603.05874v1 Announce Type: new Networks of timestamped interactions arise across social, financial, and biological domains, where forecasting future events requires modeling both evolving topology and temporal ordering. Temporal link prediction methods typically frame the task as binary classification with negative sampling, discarding the sequential and correlated nature of real-world interactions. We