Author

Yiwen Zhang

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Oct 2026

Semantic Augmented Multiview Graph Learning With Frequency-Aware Propagation for Recommendation

Graph neural networks (GNNs) have been widely adopted in collaborative filtering to model higher order relationships between users and items. However, existing methods mainly focus on interaction-based structures and neglect the explicit modeling of semantic relations among users and among items. Within these graph str...

Yi-Xin Liu, Yu Zhang, Lei Sang et al. · IEEE Transactions on Computa... · 0 citations

#graph neural networks Oct 2026

Heterogeneous Debiasing Contrastive Learning for Graph Recommendation

Heterogeneous graph neural networks (HGNNs) have demonstrated exceptional capabilities in modeling complex relationships for recommendation tasks. Their integration with contrastive learning (CL) has recently garnered significant attention due to its ability to effectively capture both structural and semantic features,...

Lei Sang, Jia-Hao Cheng, Lin Mu et al. · IEEE Transactions on Systems... · 0 citations

Aug 2026

LOGIC: LLM-Driven Cross-Scale Feature Coupling for Drug-Disease Interaction Prediction.

The key innovation of LOGIC lies in constructing a dictionary of functional groups and symptoms, and performing a simple and intuitive multi-hot encoding of drugs and diseases at the micro-scale, and in employing large language models (LLMs) to derive the meso-scale features of diseases without requiring additional dom...

Yunfei He, Shikai Chen, Yuchen Zhao et al. · IEEE transactions on computa... · 0 citations