Papers with GCN sentence classifier

1 papers
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers (D19-53)

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Challenge: Existing explainability methods do not focus on intermediate states in hidden layers of Deep Neural Networks (DNNs).
Approach: They propose a method that visits visible and hidden layers of a deep neural network and projects them onto the interpretable domain.
Outcome: The proposed method yields meaningful layerwise explanations for a GCN sentence classifier.

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