Graph Neural Networks for Learning Equivariant Representations of Neural Networks.
Miltiadis KofinasBoris KnyazevYan ZhangYunlu ChenGertjan J. BurghoutsEfstratios GavvesCees G. M. SnoekDavid W. ZhangPublished in: CoRR (2024)
Keyphrases
- neural network
- error back propagation
- neural nets
- learning rules
- cascade correlation
- learning algorithm
- artificial neural networks
- back propagation
- connectionist systems
- feedforward neural networks
- learning scheme
- fuzzy systems
- learning process
- learning tasks
- multi layer
- genetic algorithm
- fuzzy logic
- online learning
- training process
- feed forward
- graph theory
- knowledge acquisition
- unsupervised learning
- recurrent neural networks
- activation function
- multilayer perceptron
- graph representation
- learning capabilities
- active learning
- function approximators
- recurrent networks
- adaptive resonance theory
- neural learning
- support vector
- learning experience