Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation.
Guojing CongShruti R. KulkarniSeung-Hwan LimPrasanna DateShay SnyderMaryam ParsaDominic KennedyCatherine D. SchumanPublished in: ICMLA (2023)
Keyphrases
- neural network
- feed forward
- pattern recognition
- spiking neural networks
- graph representation
- recurrent neural networks
- directed acyclic graph
- feature vectors
- feature set
- optimization problems
- optimization algorithm
- directed graph
- graph theory
- hebbian learning
- bio inspired
- graph model
- bipartite graph
- multilayer perceptron
- radial basis function
- model selection
- artificial neural networks
- feature selection