A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability.
Enyan DaiTianxiang ZhaoHuaisheng ZhuJunjie XuZhimeng GuoHui LiuJiliang TangSuhang WangPublished in: CoRR (2022)
Keyphrases
- neural network
- privacy preserving
- pattern recognition
- fuzzy logic
- graph model
- graph structure
- graph representation
- random walk
- directed graph
- personal information
- genetic algorithm
- graph theoretic
- multi layer
- weighted graph
- graph theory
- bipartite graph
- multilayer perceptron
- neural network model
- recurrent neural networks
- feed forward
- connected components
- directed acyclic graph
- graph based algorithm
- graph mining
- sensitive information
- privacy preserving data mining
- artificial neural networks
- location privacy
- neural nets
- private data
- privacy issues
- image segmentation
- statistical databases
- spanning tree
- fault diagnosis
- information loss
- training process