Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks. - Zhaoliang Chen; Zhihao Wu 003; Shiping Wang; Wenzhong Guo (AAAI, 2023)

Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework. - Shiping Wang; Zhihao Wu 003; Yuhong Chen; Yong Chen 008 (AAAI, 2023)

Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification. - Sujia Huang; Shunxin Xiao; Wenzhe Liu; Jielong Lu; Zhihao Wu 003; Shiping Wang; Jagath C. Rajapakse (BIBM, 2023)

Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning. - Zhihao Wu 003; Xincan Lin; Zhenghong Lin; Zhaoliang Chen; Yang Bai; Shiping Wang (IEEE Trans. Multim., 2023)

Joint learning of feature and topology for multi-view graph convolutional network. - Yuhong Chen; Zhihao Wu 003; Zhaoliang Chen; Mianxiong Dong; Shiping Wang (Neural Networks, 2023)

Towards Multi-view Consistent Graph Diffusion. - Jielong Lu; Zhihao Wu 003; Zhaoliang Chen; Zhiling Cai; Shiping Wang (ACM Multimedia, 2024)

Enhancing Multi-view Graph Neural Network with Cross-view Confluent Message Passing. - Shuman Zhuang; Sujia Huang; Wei Huang 013; Yuhong Chen; Zhihao Wu 003; Ximeng Liu (ACM Multimedia, 2024)

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. - Zhaoliang Chen; Zhihao Wu 003; Ylli Sadikaj; Claudia Plant; Hong-Ning Dai; Shiping Wang; Wenzhong Guo (CoRR, 2024)

Geometric localized graph convolutional network for multi-view semi-supervised classification. - Aiping Huang; Jielong Lu; Zhihao Wu 003; Zhaoliang Chen; Yuhong Chen; Shiping Wang; Hehong Zhang (Inf. Sci., 2024)

Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs. - Zhaoliang Chen; Zhihao Wu 003; Luying Zhong; Claudia Plant; Shiping Wang; Wenzhong Guo (Neural Networks, 2024)

Multi-view heterogeneous graph learning with compressed hypergraph neural networks. - Aiping Huang; Zihan Fang; Zhihao Wu 003; Yanchao Tan; Peng Han 005; Shiping Wang; Le Zhang 001 (Neural Networks, 2024)

Heterogeneous graph convolutional network for multi-view semi-supervised classification. - Shiping Wang; Sujia Huang; Zhihao Wu 003; Rui Liu 007; Yong Chen 008; Dell Zhang (Neural Networks, 2024)

Graph Convolutional Network with elastic topology. - Zhihao Wu 003; Zhaoliang Chen; Shide Du; Sujia Huang; Shiping Wang (Pattern Recognit., 2024)

UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity. - Shide Du; Zhiling Cai; Zhihao Wu 003; Yueyang Pi; Shiping Wang (IEEE Trans. Image Process., 2024)

Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification. - Jielong Lu; Zhihao Wu 003; Luying Zhong; Zhaoliang Chen; Hong Zhao 002; Shiping Wang (IEEE Trans. Multim., 2024)

Graph Anomaly Detection via Multi-View Discriminative Awareness Learning. - Jie Lian 006; Xuzheng Wang; Xincan Lin; Zhihao Wu 003; Shiping Wang; Wenzhong Guo (IEEE Trans. Netw. Sci. Eng., 2024)

Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics. - Sujia Huang; Shide Du; Lele Fu; Zhihao Wu 003; Shiping Wang (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network. - Ying Zou 024; Zihan Fang; Zhihao Wu 003; Chenghui Zheng; Shiping Wang (Neural Networks, 2024)

GAF-Net: Graph attention fusion network for multi-view semi-supervised classification. - Na Song; Shide Du; Zhihao Wu 003; Luying Zhong; Laurence T. Yang; Jing Yang 051; Shiping Wang (Expert Syst. Appl., 2024)

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing. - Zhaoliang Chen; Zhihao Wu 003; Zhenghong Lin; Shiping Wang; Claudia Plant; Wenzhong Guo (IEEE Trans. Neural Networks Learn. Syst., 2024)

Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement. - Shuman Zhuang; Zhihao Wu 003; Zhaoliang Chen; Hong-Ning Dai; Ximeng Liu (AAAI, 2025)

Multi-view Representation Learning with Decoupled private and shared Propagation. - Xuzheng Wang; Shiyang Lan; Zhihao Wu 003; Wenzhong Guo; Shiping Wang (Knowl. Based Syst., 2025)

Heterogeneous Graph Embedding with Dual Edge Differentiation. - Yuhong Chen; Fuhai Chen; Zhihao Wu 003; Zhaoliang Chen; Zhiling Cai; Yanchao Tan; Shiping Wang (Neural Networks, 2025)

Low-rank tensor learning with projection distance metric for multi-view clustering. - Sujia Huang; Lele Fu; Shide Du; Zhihao Wu 003; Athanasios V. Vasilakos; Shiping Wang (Int. J. Mach. Learn. Cybern., 2025)

Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck. - Luying Zhong; Zhaoliang Chen; Zhihao Wu 003; Shide Du; Zheyi Chen; Shiping Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors. - Jielong Lu; Zhihao Wu 003; Zhiling Cai; Yueyang Pi; Shiping Wang (CoRR, 2025)

Multi-scale graph diffusion convolutional network for multi-view learning. - Shiping Wang; Jiacheng Li; Yuhong Chen; Zhihao Wu 003; Aiping Huang; Le Zhang 001 (Artif. Intell. Rev., 2025)

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. - Zhaoliang Chen; Zhihao Wu 003; Ylli Sadikaj; Claudia Plant; Hong-Ning Dai; Shiping Wang; Yiu-Ming Cheung; Wenzhong Guo (IEEE Trans. Knowl. Data Eng., 2025)