Search Results for author:
Found 4 papers, 1 papers with code
Game and Reference: Policy Combination Synthesis for Epidemic Prevention and Control
In recent years, epidemic policy-making models are increasingly being used to provide reference for governors on prevention and control policies against catastrophic epidemics such as SARS, H1N1 and COVID-19.
LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation
It maps the discrete behavior data into a continuous latent space, and generates behaviors with the guidance of collaborative signals and user multimodal preference.
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting
To be specific, in the proposed MSGNN model, we first devise a novel graph learning module, which directly captures long-range connectivity from trans-regional epidemic signals and integrates them into a multi-scale graph.
Multi-View Graph Convolutional Network for Multimedia Recommendation
Meanwhile, a behavior-aware fuser is designed to comprehensively model user preferences by adaptively learning the relative importance of different modality features.
