GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning.
Tao WuXinwen CaoChao WangShaojie QiaoXingping XianLin YuanCanyixing CuiYanbing LiuPublished in: CoRR (2024)
Keyphrases
- neural network
- artificial neural networks
- graph theory
- pattern recognition
- graph representation
- graph structure
- multilayer perceptron
- graph theoretic
- bipartite graph
- structured data
- neural nets
- weighted graph
- multi layer
- back propagation
- connected components
- neural network model
- graph matching
- data sets
- graph model
- random walk
- genetic algorithm
- search engine
- activation function
- dependency graph
- graph clustering
- random graphs
- spanning tree
- fuzzy logic
- semi supervised
- recurrent neural networks
- directed graph
- pattern mining