Preprint
Aug 2026
A Network-driven Framework for Public Event Forecasting via Dynamic Interaction Network Evolution
Auto-ibDLM is proposed, a network-driven deep learning framework that represents events as dynamic interaction networks and predicts public event evolution through participant growth forecasting and consistently outperforms representative state-of-the-art methods in both forecasting accuracy and generalization capabili...
Jie Wei, Yue Liu, Xiaochuan Tang et al.
· 0 citations