Generalizable Machine Learning in Neuroscience Using Graph Neural Networks.
Paul Y. WangSandalika SapraVivek Kurien GeorgeGabriel A. SilvaPublished in: Frontiers Artif. Intell. (2021)
Keyphrases
- machine learning
- neural network
- pattern recognition
- artificial neural networks
- fuzzy logic
- information extraction
- genetic algorithm
- graph theoretic
- random walk
- machine learning algorithms
- knowledge acquisition
- machine learning methods
- weighted graph
- graph model
- neural nets
- graph theory
- learning tasks
- fuzzy systems
- machine learning approaches
- structured data
- signal processing
- decision trees
- back propagation
- graph structure
- interdisciplinary field
- spiking neural networks
- graph databases
- computer science
- training process
- active learning
- support vector machine
- text mining
- directed graph
- statistical methods
- text classification
- knowledge discovery
- recurrent neural networks
- data analysis
- graph matching
- graph mining
- cognitive science
- support vector
- graph representation