SHCN: Self-supervised General Hypergraph Clustering Network. - Mengran Li 001; Xinglin Piao; Yong Zhang 029; Yongli Hu; Baocai Yin (IEEE Big Data, 2022)

Multi-view hypergraph neural networks for student academic performance prediction. - Mengran Li 001; Yong Zhang 029; Xiaoyong Li; Lijia Cai; Baocai Yin (Eng. Appl. Artif. Intell., 2022)

AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning. - Xiaochuan Zhang; Mengran Li 001; Ye Wang; Haojun Fei (CoRR, 2023)

Inferring student social link from spatiotemporal behavior data via entropy-based analyzing model. - Mengran Li 001; Yong Zhang 029; Xiaoyong Li; Xuanqi Lin; Baocai Yin (Intell. Data Anal., 2023)

Hypergraph Transformer Neural Networks. - Mengran Li 001; Yong Zhang 029; Xiaoyong Li; Yuchen Zhang; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2023)

Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning. - Mengran Li 001; Yong Zhang 029; Wei Zhang; Yi Chu; Yongli Hu; Baocai Yin (IEEE Trans. Big Data, 2023)

Freeway Trajectory Prediction via SpatiotemporalTransformers. - Jingtao Peng; Ronghui Zhang; Zhifa Yang; Shengru Chen; Cong Ye; Hao Wu 102; Mengran Li 001 (CACML, 2024)

Self-Attention-based Multi-Scale Feature Fusion Network for RoadPonding Segmentation. - Shangyu Yang; Ronghui Zhang; Wencai Sun; Shengru Chen; Cong Ye; Hao Wu 102; Mengran Li 001 (CVIPPR, 2024)

Gene expression prediction from histology images via hypergraph neural networks. - Bo Li 128; Yong Zhang 029; Qing Wang; Chengyang Zhang; Mengran Li 001; Guangyu Wang; Qianqian Song (Briefings Bioinform., 2024)

Effective Finite Time Stability Control for Human-Machine Shared Vehicle Following System. - Zihan Wang; Mengran Li 001; Ronghui Zhang; Jing Zhao 010; Chuan Hu; Xiaolei Ma; Zhijun Qiu (CoRR, 2024)

CSAT: Contrastive Sampling-Aggregating Transformer for Community Detection in Attribute-Missing Networks. - Mengran Li 001; Yong Zhang 029; Wei Zhang; Shiyu Zhao; Xinglin Piao; Baocai Yin (IEEE Trans. Comput. Soc. Syst., 2024)

Contextual Semantics Interaction Graph Embedding Learning for Recommender Systems. - Shiyu Zhao; Yong Zhang 029; Mengran Li 001; Xinglin Piao; Baocai Yin (IEEE Trans. Comput. Soc. Syst., 2024)

TAS-TsC: A data-driven framework for Estimating Time of Arrival using Temporal-Attribute-Spatial Tri-space Coordination of truck trajectories. - Mengran Li 001; Junzhou Chen 001; Guanying Jiang; Fuliang Li; Ronghui Zhang; Siyuan Gong; Zhihan Lv (Appl. Soft Comput., 2025)

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs. - Mengran Li 001; Chaojun Ding; Junzhou Chen 001; Wenbin Xing; Cong Ye; Ronghui Zhang; Songlin Zhuang; Jia Hu; Tony Z. Qiu; Huijun Gao (CoRR, 2025)

PhenoProfiler: Advancing Phenotypic Learning for Image-based Drug Discovery. - Bo Li 128; Bob Zhang 001; Chengyang Zhang; Minghao Zhou; Weiliang Huang; Shihang Wang; Qing Wang; Mengran Li 001; Yong Zhang 029; Qianqian Song (CoRR, 2025)

Redundancy is Not What You Need: An Embedding Fusion Graph Auto-Encoder for Self-Supervised Graph Representation Learning. - Mengran Li 001; Yong Zhang 029; Shaofan Wang; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2025)

MM-STFlowNet: A Transportation Hub-Oriented Multi-Mode Passenger Flow Prediction Method via Spatial-Temporal Dynamic Graph Modeling. - Ronghui Zhang; Wenbin Xing; Mengran Li 001; Zihan Wang; Junzhou Chen 001; Xiaolei Ma; Zhiyuan Liu; Zhengbing He (CoRR, 2025)

Using Large Language Models to Tackle Fundamental Challenges in Graph Learning: A Comprehensive Survey. - Mengran Li 001; Pengyu Zhang; Wenbin Xing; Yijia Zheng; Klim Zaporojets; Junzhou Chen 001; Ronghui Zhang; Yong Zhang 029; Siyuan Gong; Jia Hu; Xiaolei Ma; Zhiyuan Liu; et al. (CoRR, 2025)

Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things. - Mengran Li 001; Junzhou Chen 001; Chenyun Yu; Guanying Jiang; Ronghui Zhang; Yanming Shen; Houbing Herbert Song (IEEE Internet Things J., 2025)