3 citations · 3 across the 2 of their papers we have counts for
4 papers
Graph Navier Stokes Networks
Zexing Zhao, Guangsi Shi, Yu Gong +4
Graph Neural Networks (GNNs) have emerged as a cornerstone of deep learning, with most existing methods rooted in graph signal processing and diffusion equations to model message p…
HOP: Heterogeneous Topology-based Multimodal Entanglement for Co-Speech Gesture Generation
Hongye Cheng, Tianyu Wang, Guangsi Shi +2
Co-speech gestures are crucial non-verbal cues that enhance speech clarity and expressiveness in human communication, which have attracted increasing attention in multimodal resear…
LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning
Guangsi Shi, Xiaofeng Deng, Linhao Luo +6
Recommender systems are pivotal in enhancing user experiences across various web applications by analyzing the complicated relationships between users and items. Knowledge graphs(K…
Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction
Zexing Zhao, Guangsi Shi, Xiaopeng Wu +3
Molecular property prediction is a key component of AI-driven drug discovery and molecular characterization learning. Despite recent advances, existing methods still face challenge…