Mengran Li

31 papers A* 1B 1Journal 26Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A survey of large language models for data challenges in graphs.
Expert Syst. Appl.
Mengran Li, Pengyu Zhang, Wenbin Xing, Yijia Zheng, Klim Zaporojets, Junzhou Chen, Ronghui Zhang, Yong Zhang, Siyuan Gong, Jia Hu, Xiaolei Ma, Zhiyuan Liu, Paul Groth, Marcel Worring
2026 A* conf
Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling.
AAAI
Mengran Li, Zelin Zang, Wenbin Xing, Junzhou Chen, Ronghui Zhang, Jiebo Luo, Stan Z. Li
2026 J jnl
MORSE: Molecular representation learning via structured semantic extraction across hierarchical and asymmetric biological modalities.
Pattern Recognit.
Ronghui Zhang, Mengran Li, Wenbin Xing, Bo Li, Chengyang Zhang, Wenxuan Tu, Yongfu Li, Ruxin Wang
2025 J jnl
AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs.
CoRR
Mengran Li, Chaojun Ding, Junzhou Chen, Wenbin Xing, Cong Ye, Ronghui Zhang, Songlin Zhuang, Jia Hu, Tony Z. Qiu, Huijun Gao
2025 J jnl
Effective Finite Time Stability Control for Human-Machine Shared Vehicle Following System.
IEEE Trans. Intell. Transp. Syst.
Zihan Wang, Mengran Li, Ronghui Zhang, Jing Zhao, Chuan Hu, Xiaolei Ma, Tony Z. Qiu
2025 J jnl
Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling.
CoRR
Mengran Li, Zelin Zang, Wenbin Xing, Junzhou Chen, Ronghui Zhang, Jiebo Luo, Stan Z. Li
2025 — conf
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets.
KDD (2)
Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Yijie Li, Mengran Li, Puzhen Wu, Edith C. H. Ngai
2025 J jnl
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets.
CoRR
Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Yijie Li, Mengran Li, Puzhen Wu, Edith C. H. Ngai
2025 J jnl
MM-STFlowNet: A Transportation Hub-Oriented Multi-Mode Passenger Flow Prediction Method via Spatial-Temporal Dynamic Graph Modeling.
CoRR
Ronghui Zhang, Wenbin Xing, Mengran Li, Zihan Wang, Junzhou Chen, Xiaolei Ma, Zhiyuan Liu, Zhengbing He
2025 J jnl
MM-STFlowNet: A Transportation Hub-Oriented Multi-Mode Passenger Flow Prediction Method via Spatial-Temporal Dynamic Graph Modeling.
IEEE Trans. Intell. Transp. Syst.
Ronghui Zhang, Wenbin Xing, Mengran Li, Zihan Wang, Junzhou Chen, Xiaolei Ma, Zhiyuan Liu, Zhengbing He
2025 J jnl
PhenoProfiler: Advancing Phenotypic Learning for Image-based Drug Discovery.
CoRR
Bo Li, Bob Zhang, Chengyang Zhang, Minghao Zhou, Weiliang Huang, Shihang Wang, Qing Wang, Mengran Li, Yong Zhang, Qianqian Song
2025 J jnl
Redundancy is Not What You Need: An Embedding Fusion Graph Auto-Encoder for Self-Supervised Graph Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Mengran Li, Yong Zhang, Shaofan Wang, Yongli Hu, Baocai Yin
2025 J jnl
TAS-TsC: A data-driven framework for Estimating Time of Arrival using Temporal-Attribute-Spatial Tri-space Coordination of truck trajectories.
Appl. Soft Comput.
Mengran Li, Junzhou Chen, Guanying Jiang, Fuliang Li, Ronghui Zhang, Siyuan Gong, Zhihan Lv
2025 J jnl
TDG-Mamba: Advanced Spatiotemporal Embedding for Temporal Dynamic Graph Learning via Bidirectional Information Propagation.
IEEE Trans. Comput. Soc. Syst.
Mengran Li, Junzhou Chen, Bo Li, Yong Zhang, Ronghui Zhang, Siyuan Gong, Xiaolei Ma, Zhihong Tian
2025 J jnl
Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things.
CoRR
Mengran Li, Junzhou Chen, Chenyun Yu, Guanying Jiang, Ronghui Zhang, Yanming Shen, Houbing Herbert Song
2025 J jnl
Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things.
IEEE Internet Things J.
Mengran Li, Junzhou Chen, Chenyun Yu, Guanying Jiang, Ronghui Zhang, Yanming Shen, Houbing Herbert Song
2025 J jnl
Using Large Language Models to Tackle Fundamental Challenges in Graph Learning: A Comprehensive Survey.
CoRR
Mengran Li, Pengyu Zhang, Wenbin Xing, Yijia Zheng, Klim Zaporojets, Junzhou Chen, Ronghui Zhang, Yong Zhang, Siyuan Gong, Jia Hu, Xiaolei Ma, Zhiyuan Liu, Paul Groth, Marcel Worring
2024 J jnl
CSAT: Contrastive Sampling-Aggregating Transformer for Community Detection in Attribute-Missing Networks.
IEEE Trans. Comput. Soc. Syst.
Mengran Li, Yong Zhang, Wei Zhang, Shiyu Zhao, Xinglin Piao, Baocai Yin
2024 J jnl
Contextual Semantics Interaction Graph Embedding Learning for Recommender Systems.
IEEE Trans. Comput. Soc. Syst.
Shiyu Zhao, Yong Zhang, Mengran Li, Xinglin Piao, Baocai Yin
2024 J jnl
Effective Finite Time Stability Control for Human-Machine Shared Vehicle Following System.
CoRR
Zihan Wang, Mengran Li, Ronghui Zhang, Jing Zhao, Chuan Hu, Xiaolei Ma, Zhijun Qiu
2024 — conf
Freeway Trajectory Prediction via SpatiotemporalTransformers.
CACML
Jingtao Peng, Ronghui Zhang, Zhifa Yang, Shengru Chen, Cong Ye, Hao Wu, Mengran Li
2024 J jnl
Gene expression prediction from histology images via hypergraph neural networks.
Briefings Bioinform.
Bo Li, Yong Zhang, Qing Wang, Chengyang Zhang, Mengran Li, Guangyu Wang, Qianqian Song
2024 — conf
Self-Attention-based Multi-Scale Feature Fusion Network for RoadPonding Segmentation.
CVIPPR
Shangyu Yang, Ronghui Zhang, Wencai Sun, Shengru Chen, Cong Ye, Hao Wu, Mengran Li
2024 J jnl
TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories.
CoRR
Mengran Li, Junzhou Chen, Guanying Jiang, Fuliang Li, Ronghui Zhang, Siyuan Gong, Zhihan Lv
2023 J jnl
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning.
CoRR
Xiaochuan Zhang, Mengran Li, Ye Wang, Haojun Fei
2023 J jnl
Hypergraph Transformer Neural Networks.
ACM Trans. Knowl. Discov. Data
Mengran Li, Yong Zhang, Xiaoyong Li, Yuchen Zhang, Baocai Yin
2023 J jnl
Inferring student social link from spatiotemporal behavior data via entropy-based analyzing model.
Intell. Data Anal.
Mengran Li, Yong Zhang, Xiaoyong Li, Xuanqi Lin, Baocai Yin
2023 J jnl
Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning.
IEEE Trans. Big Data
Mengran Li, Yong Zhang, Wei Zhang, Yi Chu, Yongli Hu, Baocai Yin
2022 J jnl
Multi-view hypergraph neural networks for student academic performance prediction.
Eng. Appl. Artif. Intell.
Mengran Li, Yong Zhang, Xiaoyong Li, Lijia Cai, Baocai Yin
2022 B conf
SHCN: Self-supervised General Hypergraph Clustering Network.
IEEE Big Data
Mengran Li, Xinglin Piao, Yong Zhang, Yongli Hu, Baocai Yin
2022 J jnl
Student achievement prediction using deep neural network from multi-source campus data.
Complex Intell. Syst.
Xiaoyong Li, Yong Zhang, Huimin Cheng, Mengran Li, Baocai Yin