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A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs
Experiments on real datasets demonstrate the ability of our framework to leverage common graph sampling methods for hypothesis testing, and the superiority of hypothesis-aware sampling in terms of accuracy and time efficiency.
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