Interpreting the Higgs boson interaction network with layerwise relevance propagation
The Higgs boson interaction network acquires exceptional performance on Higgs boson identification, but GNNs are broadly too opaque to easily understand the model’s inner workings. With layerwise relevance propagation, we backpropagate relevance and visualize the nodes, features, and edges the model uses to classify with such high accuracy.