Accurately predicting the popularity of multimodal user-generated content (UGC) is
fundamental for many real-world applications such as online advertising and …

A central issue in rumor surveillance and management is decoding the complex dynamics of
rumor propagation, with an emphasis on predicting diffusion cascades. Recent studies focus …

Accurately predicting the popularity of micro-videos is crucial for real-world applications
such as recommender systems and identifying viral marketing opportunities. Existing …

Information diffusion prediction, which aims to infer the infected behavior of individual users
during information spread, is critical for understanding the dynamics of information …

Information diffusion prediction aims to forecast the path of information spreading in social
networks by exploiting user correlations or preferences. Recent works focus on …

Information diffusion prediction is fundamental to understand the structure and organization
of the online social networks, and plays a crucial role to blocking rumor spread, influence …

Multimodal learning with incomplete modality is practical and challenging. Recently,
researchers have focused on enhancing the robustness of pre-trained MultiModal …

具有不完整模态的多模态学习是实用且具有挑战性的. 最近, 研究人员通过应用可学习的提示
专注于增强在缺失模态条件下的预训练多模态Transformer (MMTs) 的鲁棒性. 然而 …

With the increasing use of online social media platforms, information diffusion has become a
prevalent phenomenon, making Information Diffusion Prediction (IDP) critical for various …