Mingjian Guang

According to our database, Mingjian Guang authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

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

Zihao Lu, Junli Wang, Mingjian Guang

Appl. Intell., May, 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 38: 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