How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting? - Ming Jin 005; Guangsi Shi; Yuan-Fang Li; Qingsong Wen; Bo Xiong; Tian Zhou 004; Shirui Pan (CoRR, 2023)

Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs. - Guangsi Shi; Daokun Zhang; Ming Jin 005; Shirui Pan (CoRR, 2023)

Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction. - Zexing Zhao; Guangsi Shi; Xiaopeng Wu; Ruohua Ren; Xiaojun Gao; Fuyi Li (CoRR, 2024)

DCCN: A dual-cross contrastive neural network for 3D point cloud representation learning. - Xiaopeng Wu; Guangsi Shi; Zexing Zhao; Mingjie Li 006; Xiaojun Gao; Xiaoli Yan (Expert Syst. Appl., 2024)

Towards complex dynamic physics system simulation with graph neural ordinary equations. - Guangsi Shi; Daokun Zhang; Ming Jin 005; Shirui Pan; Philip S. Yu (Neural Networks, 2024)

HOP: Heterogeneous Topology-based Multimodal Entanglement for Co-Speech Gesture Generation. - Hongye Cheng; Tianyu Wang; Guangsi Shi; Zexing Zhao; Yanwei Fu 001 (CVPR, 2025)

LLM-powered explanations: Unraveling recommendations through subgraph reasoning. - Guangsi Shi; Xiaofeng Deng; Linhao Luo; Lijuan Xia; Lei Bao; Bei Ye; Fei Du; Shirui Pan; Yuxiao Li 003 (Knowl. Based Syst., 2025)

DIG-Mol: A Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction. - Zexing Zhao; Guangsi Shi; Xiaopeng Wu; Ruohua Ren; Xiaojun Gao; Fuyi Li (IEEE J. Biomed. Health Informatics, 2025)

Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting. - Ming Jin 005; Guangsi Shi; Yuan-Fang Li; Bo Xiong; Tian Zhou 004; Flora D. Salim; Liang Zhao 002; Lingfei Wu 001; Qingsong Wen; Shirui Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2025)