Zhihao Wu

According to our database, Zhihao Wu authored at least 19 papers between 2023 and 2024.

Collaborative distances:

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

2024

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing.

Zhaoliang Chen, Zhihao Wu, Zhenghong Lin, Shiping Wang, Claudia Plant, Wenzhong Guo

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

GAF-Net: Graph attention fusion network for multi-view semi-supervised classification.

Na Song, Shide Du, Zhihao Wu, Luying Zhong, Laurence T. Yang, Jing Yang, Shiping Wang

Expert Syst. Appl., March, 2024

Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network.

Ying Zou, Zihan Fang, Zhihao Wu, Chenghui Zheng, Shiping Wang

Neural Networks, January, 2024

Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics.

Sujia Huang, Shide Du, Lele Fu, Zhihao Wu, Shiping Wang

IEEE Trans. Signal Inf. Process. over Networks, 2024

Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification.

Jielong Lu, Zhihao Wu, Luying Zhong, Zhaoliang Chen, Hong Zhao, Shiping Wang

IEEE Trans. Multim., 2024

UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity.

Shide Du, Zhiling Cai, Zhihao Wu, Yueyang Pi, Shiping Wang

IEEE Trans. Image Process., 2024

Graph Convolutional Network with elastic topology.

Zhihao Wu, Zhaoliang Chen, Shide Du, Sujia Huang, Shiping Wang

Pattern Recognit., 2024

Heterogeneous graph convolutional network for multi-view semi-supervised classification.

Shiping Wang, Sujia Huang, Zhihao Wu, Rui Liu, Yong Chen, Dell Zhang

Neural Networks, 2024

Multi-view heterogeneous graph learning with compressed hypergraph neural networks.

Aiping Huang, Zihan Fang, Zhihao Wu, Yanchao Tan, Peng Han, Shiping Wang, Le Zhang

Neural Networks, 2024

Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs.

Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, Shiping Wang, Wenzhong Guo

Neural Networks, 2024

Geometric localized graph convolutional network for multi-view semi-supervised classification.

Aiping Huang, Jielong Lu, Zhihao Wu, Zhaoliang Chen, Yuhong Chen, Shiping Wang, Hehong Zhang

Inf. Sci., 2024

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks.

Zhaoliang Chen, Zhihao Wu, Ylli Sadikaj, Claudia Plant, Hong-Ning Dai, Shiping Wang, Wenzhong Guo

CoRR, 2024

Enhancing Multi-view Graph Neural Network with Cross-view Confluent Message Passing.

Shuman Zhuang, Sujia Huang, Wei Huang, Yuhong Chen, Zhihao Wu, Ximeng Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Multi-view Consistent Graph Diffusion.

Jielong Lu, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, Shiping Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Joint learning of feature and topology for multi-view graph convolutional network.

Yuhong Chen, Zhihao Wu, Zhaoliang Chen, Mianxiong Dong, Shiping Wang

Neural Networks, November, 2023

Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning.

Zhihao Wu, Xincan Lin, Zhenghong Lin, Zhaoliang Chen, Yang Bai, Shiping Wang

IEEE Trans. Multim., 2023

Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification.

Sujia Huang, Shunxin Xiao, Wenzhe Liu, Jielong Lu, Zhihao Wu, Shiping Wang, Jagath C. Rajapakse

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework.

Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks.

Zhaoliang Chen, Zhihao Wu, Shiping Wang, Wenzhong Guo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023