Generalizable Machine Learning in Neuroscience using Graph Neural Networks.
Paul Y. WangSandalika SapraVivek Kurien GeorgeGabriel A. SilvaPublished in: CoRR (2020)
Keyphrases
- machine learning
- neural network
- pattern recognition
- graph structure
- artificial neural networks
- fuzzy logic
- reinforcement learning
- graph model
- artificial intelligence
- natural language processing
- machine learning algorithms
- random walk
- graph theoretic
- graph representation
- computer vision
- text mining
- directed acyclic graph
- signal processing
- genetic algorithm
- learning systems
- spiking neural networks
- graph matching
- machine learning approaches
- feature selection
- decision trees
- active learning
- structured data
- learning algorithm
- activation function
- spanning tree
- cognitive processes
- weighted graph
- text classification
- back propagation
- kernel methods
- neural network model
- undirected graph
- cognitive psychology
- self organizing maps
- machine learning methods
- explanation based learning
- learning classifier systems
- directed graph
- knowledge acquisition
- learning tasks
- knowledge discovery
- graphical models
- multi layer
- feed forward
- cognitive science
- neural nets