Zhihao Wu

Orcid: 0000-0001-5835-9903

Affiliations:
  • Fuzhou University, College of Computer and Data Science, China


According to our database1, Zhihao Wu authored at least 20 papers between 2023 and 2024.

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Bibliography

2024
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

GAF-Net: Graph attention fusion network for multi-view semi-supervised classification.
Expert Syst. Appl., March, 2024

Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network.
Neural Networks, January, 2024

Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics.
IEEE Trans. Signal Inf. Process. over Networks, 2024

Graph Anomaly Detection via Multi-View Discriminative Awareness Learning.
IEEE Trans. Netw. Sci. Eng., 2024

Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification.
IEEE Trans. Multim., 2024

UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity.
IEEE Trans. Image Process., 2024

Graph Convolutional Network with elastic topology.
Pattern Recognit., 2024

Heterogeneous graph convolutional network for multi-view semi-supervised classification.
Neural Networks, 2024

Multi-view heterogeneous graph learning with compressed hypergraph neural networks.
Neural Networks, 2024

Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs.
Neural Networks, 2024

Geometric localized graph convolutional network for multi-view semi-supervised classification.
Inf. Sci., 2024

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks.
CoRR, 2024

Enhancing Multi-view Graph Neural Network with Cross-view Confluent Message Passing.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Multi-view Consistent Graph Diffusion.
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.
Neural Networks, November, 2023

Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning.
IEEE Trans. Multim., 2023

Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023


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