A graph sampling scheme that combines causal effects with Shapley values to weight neighbor coalitions, improving robustness of GraphSAGE under feature perturbation.
FastGCN: Fast learning with graph convolutional networks via importance sampling,
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Cooperative Causal GraphSAGE
A graph sampling scheme that combines causal effects with Shapley values to weight neighbor coalitions, improving robustness of GraphSAGE under feature perturbation.