Training-free Graph Neural Networks and the Power of Labels as Features.
Ryoma SatoPublished in: CoRR (2024)
Keyphrases
- neural network
- training set
- training examples
- training algorithm
- pattern recognition
- feedforward neural networks
- recurrent neural networks
- artificial neural networks
- feature vectors
- directed graph
- random walk
- feature set
- training data
- training process
- co occurrence
- image features
- feed forward neural networks
- feature extraction
- labelled data
- edge weights
- additional features
- graph representation
- labeled graphs
- multiple features
- graph structure
- back propagation
- classification accuracy
- feature space
- decision trees
- social networks
- genetic algorithm