AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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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...