Reinforced adaptive knowledge learning for multimodal fake news detection
Nowadays, detecting multimodal fake news has emerged as a foremost concern since the
widespread dissemination of fake news may incur adverse societal impact. Conventional …
widespread dissemination of fake news may incur adverse societal impact. Conventional …
Multi-task hierarchical heterogeneous fusion framework for multimodal summarization
With the rise of multimedia content on the internet, Multimodal Summarization has become a
challenging task to help individuals grasp vital information fast. However, previous methods …
challenging task to help individuals grasp vital information fast. However, previous methods …
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation
Graph neural networks (GNNs) are commonly employed in collaborative friend
recommendation systems. Nevertheless, recent studies reveal a notable performance gap …
recommendation systems. Nevertheless, recent studies reveal a notable performance gap …
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features
G Bazhenov, O Platonov, L Prokhorenkova - ar** public opinion. Twitter, being extensively studied …
Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank
J Hu, J Xu, J Chen, L Qiao, J Wang, F Huang… - Pacific Rim International …, 2024 - Springer
Recommendation systems chiefly rely on Collaborative Filtering techniques to depict user
inclinations by analyzing historical interactions. This traditional approach has seen …
inclinations by analyzing historical interactions. This traditional approach has seen …