An Evaluation of Backpropagation Interpretability for Graph Classification with Deep Learning.
Kenneth Teo Tian ShunEko Edita LimantaArijit KhanPublished in: IEEE BigData (2020)
Keyphrases
- back propagation
- deep learning
- graph classification
- neural network
- artificial neural networks
- feed forward
- training algorithm
- neural nets
- bp neural network
- unsupervised learning
- multilayer perceptron
- learning algorithm
- machine learning
- hidden layer
- fuzzy logic
- prediction accuracy
- data sets
- genetic algorithm
- information retrieval
- object recognition
- artificial intelligence
- image segmentation
- weakly supervised
- feature selection
- graph kernels