GNN可解释性和GNN联邦学习调研
explainability decomposition: decompose the prediction gradient-based: gradient w.r.t the input graph to identify the importance of the input portions surrogate: fit a model based on the input and output generation-based: synthesize the crucial patterns customized for an input, or generate key structures to globally explain the behavior of model predictions perturbation-based: remove the unimportant edges and nodes so that the final prediction remains unchanged under such perturbations counterfactual-based: identify the minimal substructure of the input which would change the original prediction if removed...