Graph neural network explanations reveal a topological signature of disease-associated hubs in biological networks
Systematic evaluation of post-hoc GNN explanation methods (Saliency Attribution, Integrated Gradients, GNNExplainer, LRP) to test whether explanations recover disease-relevant topological structure (topological signature of disease-associated hubs) in breast cancer molecular graphs built from RNA-seq projected onto a protein-protein interaction (PPI) network.
pythongraph_neural_networksattribution_methods (saliency_integrated_gradients)gnnexplainer+32w ago
brand newby Kyle HigginsFR:HIGHPDR:HIGHMCR:HIGHDH:6MO2/10