Zhongying Zhao

Mitigating Dynamic Graph Distribution Shifts via Spectral Augmentation

Sentiment-aware Rating-based Recommendation via Semantic-enhanced Item Alignment

This work proposes the SENSE model, a confidence-aware soft sentiment assignment and a sentiment exchange mechanism to quantify fine-grained preferences and explicitly model sentiment interaction, and employs a confidence-aware soft sentiment assignment and a sentiment exchange mechanism to quantify fine-grained preferences and explicitly model sentiment interaction.

Dual-Channel Hybrid Graph Neural Network for Mobility Social Relationship Inference

A novel Dual-Channel Hybrid Graph Neural Network (HyGNN) that jointly models temporal dynamics and high-order structural dependencies and robustly captures the nonlinear interplay between mobility and sociality.

Adversarial Masked Graph Modeling for Robust Graph Autoencoders

This work designs a dual-consistency graph augmentation method that enriches the graph topology to mitigate structural vulnerabilities and presents an adversarial masked autoen-coder to mitigate model overfitting to the perturbed graph.