Graph Neural Networks for Learning Equivariant Representations of Neural Networks.
Miltiadis KofinasBoris KnyazevYan ZhangYunlu ChenGertjan J. BurghoutsEfstratios GavvesCees G. M. SnoekDavid W. ZhangPublished in: ICLR (2024)
Keyphrases
- neural network
- cascade correlation
- pattern recognition
- learning rules
- connectionist systems
- learning algorithm
- artificial neural networks
- neural nets
- learning systems
- learning capabilities
- feedforward neural networks
- back propagation
- neural learning
- reinforcement learning
- genetic algorithm
- learning process
- fuzzy logic
- neural network model
- knowledge acquisition
- online learning
- error back propagation
- distributed representations
- recurrent networks
- multiple representations
- hidden layer
- graph representation
- learning classifier systems
- supervised learning
- fuzzy systems
- multi layer
- bipartite graph
- incremental learning
- feed forward
- graphical models