How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks.
Keyulu XuMozhi ZhangJingling LiSimon Shaolei DuKen-ichi KawarabayashiStefanie JegelkaPublished in: ICLR (2021)
Keyphrases
- feed forward
- neural network
- back propagation
- neural nets
- artificial neural networks
- recurrent neural networks
- activation function
- adaptive neural
- feed forward neural networks
- pattern recognition
- error back propagation
- recurrent networks
- visual cortex
- hidden layer
- biologically plausible
- genetic algorithm
- fuzzy logic
- graph theory
- multilayer perceptron
- neural architecture
- random walk
- biologically inspired
- training algorithm
- bp neural network
- radial basis function
- self organizing maps
- spiking neural networks
- artificial neural
- neuron model
- artificial intelligence