Retrieval-augmented hypergraph for multimodal social media popularity prediction
Accurately predicting the popularity of multimodal user-generated content (UGC) is
fundamental for many real-world applications such as online advertising and …
fundamental for many real-world applications such as online advertising and …
Unifying multimodal interactions for rumor diffusion prediction with global hypergraph modeling
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 …
rumor propagation, with an emphasis on predicting diffusion cascades. Recent studies focus …
R-ode: Ricci curvature tells when you will be informed
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 …
of the online social networks, and plays a crucial role to blocking rumor spread, influence …
Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation
Accurately predicting the popularity of micro-videos is crucial for real-world applications
such as recommender systems and identifying viral marketing opportunities. Existing …
such as recommender systems and identifying viral marketing opportunities. Existing …
Information Diffusion Prediction via Cascade-Retrieved In-Context Learning
Information diffusion prediction, which aims to infer the infected behavior of individual users
during information spread, is critical for understanding the dynamics of information …
during information spread, is critical for understanding the dynamics of information …
Information Diffusion Prediction with Graph Neural Ordinary Differential Equation Network
D Wang, W Zhou, S Hu - Proceedings of the 32nd ACM International …, 2024 - dl.acm.org
Information diffusion prediction aims to forecast the path of information spreading in social
networks by exploiting user correlations or preferences. Recent works focus on …
networks by exploiting user correlations or preferences. Recent works focus on …
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning
Multimodal learning with incomplete modality is practical and challenging. Recently,
researchers have focused on enhancing the robustness of pre-trained MultiModal …
researchers have focused on enhancing the robustness of pre-trained MultiModal …
Improving Information Diffusion Prediction by Tackling Noise and Sparsity Challenges
S Yang - arxiv preprint arxiv:2410.18492, 2024 - arxiv.org
With the widespread use of online social media platforms, information diffusion has become
a prevalent phenomenon, making Information Diffusion Prediction (IDP) increasingly …
a prevalent phenomenon, making Information Diffusion Prediction (IDP) increasingly …