Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification.
Arpit MerchantCarlos CastilloPublished in: CIKM (2023)
Keyphrases
- neural network
- classification accuracy
- pattern recognition
- directed graph
- graph structure
- accuracy rate
- pattern classification
- predictive accuracy
- feature extraction
- support vector machine
- artificial neural networks
- feature vectors
- multi layer perceptron
- roc curve
- support vector
- supervised learning
- high accuracy
- decision trees
- genetic algorithm
- prediction accuracy
- classification rules
- machine learning
- classification rate
- generalization ability
- fold cross validation
- support vector machine svm
- training data
- feature space
- training set
- fuzzy logic
- image classification
- text classification
- tree structure
- bipartite graph
- graph theory
- image registration
- stereo images
- training process
- feature selection
- social networks
- overlapping communities
- nodes of a graph