Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions.
Lukas GoschSimon GeislerDaniel SturmBertrand CharpentierDaniel ZügnerStephan GünnemannPublished in: NeurIPS (2023)
Keyphrases
- neural network
- training process
- training algorithm
- genetic algorithm
- feedforward neural networks
- graph representation
- pattern recognition
- graph structure
- back propagation
- multi layer perceptron
- random walk
- feed forward neural networks
- training examples
- artificial neural networks
- graph theory
- graph theoretic
- multilayer neural network
- neural network structure
- backpropagation algorithm
- recurrent networks
- radial basis function network
- training data
- directed acyclic graph
- optimal solution
- training set
- graph mining
- graph model
- training phase
- e learning
- weighted graph
- social networks
- recurrent neural networks
- graph matching
- feed forward
- radial basis function
- structured data