Jipeng Guo

According to our database, Jipeng Guo authored at least 18 papers between 2019 and 2024.

Collaborative distances:

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

2024

Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs.

Yachao Yang, Yanfeng Sun, Jipeng Guo, Junbin Gao, Shaofan Wang, Fujiao Ju, Baocai Yin

CoRR, 2024

DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations.

Jinlu Wang, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Yachao Yang, Baocai Yin

CoRR, 2024

Improved Attributed Graph Clustering with Representation and Structure Augmentation.

Jipeng Guo, Tengxiao Yin, Tianxiang Zhao, Jiayi Zhao, Yanfeng Sun, Junbin Gao, Youqing Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs.

Qi Zhang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Jinghua Li, Junbin Gao, Baocai Yin

Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks.

Yachao Yang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Baocai Yin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Graph Neural Networks with Soft Association between Topology and Attribute.

Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Robust discriminant analysis with feature selective projection and between-classes structural incoherence.

Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

Digit. Signal Process., April, 2023

Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering.

Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

2022

Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization.

Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., 2022

Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization.

Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Image Process., 2022

Adaptive graph convolutional clustering network with optimal probabilistic graph.

Jiayi Zhao, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Baocai Yin

Neural Networks, 2022

Globality constrained adaptive graph regularized non-negative matrix factorization for data representation.

Yanfeng Sun, Jie Wang, Jipeng Guo, Yongli Hu, Baocai Yin

IET Image Process., 2022

Robust Graph Convolutional Clustering With Adaptive Graph Learning.

Jiayi Zhao, Yanfeng Sun, Jipeng Guo, Junbin Gao, Baocai Yin

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Attributed Non-negative Matrix Multi-factorization for Data Representation.

Jie Wang, Yanfeng Sun, Jipeng Guo, Yongli Hu, Baocai Yin

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020

Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint.

Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

ACM Trans. Knowl. Discov. Data, 2020

Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation.

Jipeng Guo, Shuai Yin, Yanfeng Sun, Yongli Hu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering.

Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Multi-View Subspace Clustering With Block Diagonal Representation.

Jipeng Guo, Wenbin Yin, Yanfeng Sun, Yongli Hu

IEEE Access, 2019