OHCA-GCN: A novel graph convolutional network-based fault diagnosis method for complex systems via supervised graph construction and optimization.
Jiamin XuHaobin KeZhaohui JiangSiwen MoZhiwen ChenWei-Hua GuiPublished in: Adv. Eng. Informatics (2024)
Keyphrases
- complex systems
- graph construction
- semi supervised
- graph based semi supervised learning
- k nearest neighbor
- semi supervised classification
- knn
- semi supervised learning
- neighborhood graph
- label propagation
- multi agent systems
- dimensionality reduction
- spectral clustering
- supervised learning
- unsupervised learning
- multi label
- learning algorithm
- feature selection
- unlabeled data
- machine learning
- agent based models
- supervised classification
- data clustering
- labeled data
- reinforcement learning
- manifold learning
- training data
- subspace learning
- text categorization
- neural network
- graphical models
- nearest neighbor