Mingjian Guang

According to our database, Mingjian Guang authored at least 18 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Ensemble Graph Neural Networks With Individual Decision Feedback for Graph Classification.

Mingjian Guang, Zhong Li, Rui Zhang, Junli Wang, Dawei Cheng

IEEE Trans. Knowl. Data Eng., July, 2026

Graph Neural Networks With Interaction-Aware View Fusion for Graph Classification.

Wei Zhao, Mingjian Guang, Yi Zhang, Yi Zhao, Jiaqi Zhan, Li Ying, Peng Wang

IEEE Trans. Comput. Soc. Syst., April, 2026

Exposing Disguises and Tracing Illicit Flows: Dual-View Graph Representation Learning for Money Laundering Detection.

Zhong Li, Xinyu Yin, Mingjian Guang, Changjun Jiang

IEEE Trans. Comput. Soc. Syst., April, 2026

Homophily Edge Augment Graph Neural Network for High-Class Homophily Variance Learning.

Mingjian Guang, Rui Zhang, Dawei Cheng, Xiaoyang Wang, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

Dual-level group interactions via multi-expert synergy GNN for graph classification.

Mingjian Guang, Tong Yang, Hongqin Huang, Yunxiang Lin, Zhong Li, Rui Duan, Peng Wang, Hao Chen

Expert Syst. Appl., 2026

2025

FedFAA: knowledge filtering for adaptive model aggregation in federated learning.

Zihao Lu, Junli Wang, Mingjian Guang

Appl. Intell., May, 2025

Multi-Temporal Partitioned Graph Attention Networks for Financial Fraud Detection.

Mingjian Guang, Zhong Li, Chungang Yan, Yuhua Xu, Junli Wang, Dawei Cheng, Changjun Jiang

IEEE Trans. Inf. Forensics Secur., 2025

Hierarchical neighbor-enhanced graph contrastive learning for recommendation.

Hongjie Wei, Junli Wang, Yu Ji, Mingjian Guang, Chungang Yan

Knowl. Based Syst., 2025

2024

Graph Multi-Convolution and Attention Pooling for Graph Classification.

Yuhua Xu, Junli Wang, Mingjian Guang, Changjun Jiang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Graph Convolutional Networks With Adaptive Neighborhood Awareness.

Mingjian Guang, Chungang Yan, Yuhua Xu, Junli Wang, Changjun Jiang

IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

A Multichannel Convolutional Decoding Network for Graph Classification.

Mingjian Guang, Chungang Yan, Yuhua Xu, Junli Wang, Changjun Jiang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Probabilistic Reachability Prediction of Unbounded Petri Nets: A Machine Learning Method.

Hongda Qi, Mingjian Guang, Junli Wang, Chungang Yan, Changjun Jiang

IEEE Trans Autom. Sci. Eng., July, 2024

Graph contrastive learning with min-max mutual information.

Yuhua Xu, Junli Wang, Mingjian Guang, Chungang Yan, Changjun Jiang

Inf. Sci., 2024

Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles.

Rui Duan, Mingjian Guang, Junli Wang, Chungang Yan, Hongda Qi, Wenkang Su, Can Tian, Haoran Yang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Multistructure Graph Classification Method With Attention-Based Pooling.

Yuhua Xu, Junli Wang, Mingjian Guang, Chungang Yan, Changjun Jiang

IEEE Trans. Comput. Soc. Syst., April, 2023

Dynamic and Static Feature-Aware Microservices Decomposition via Graph Neural Networks.

Long Chen, Mingjian Guang, Junli Wang, Chungang Yan

Proceedings of the Knowledge Science, Engineering and Management, 2023

2022

Net Learning.

Junli Wang, Hongda Qi, Mingjian Guang, Chaobo Zhang, Chungang Yan, Changjun Jiang

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Benchmark Datasets for Stochastic Petri Net Learning.

Mingjian Guang, Chungang Yan, Junli Wang, Hongda Qi, Changjun Jiang

Proceedings of the International Joint Conference on Neural Networks, 2021