Erdos-Renyi Causal Graphs
收藏arXiv2025-09-30 收录
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https://github.com/SinaAkbarii/min_cost_intervention/tree/main
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资源简介：
该数据集是通过使用Erdos-Renyi生成模型生成的因果图，其中的顶点和边是按照特定的概率进行采样的。干预成本是从集合{1, 2, 3, 4}中随机选择的，性能指标包括多次试验中的运行时间和归一化遗憾。数据集的规模是可变数量的顶点（n），任务是在因果图中识别最小成本干预集。
This dataset comprises causal graphs generated via the Erdos-Renyi generative model, where vertices and edges are sampled according to specified probabilities. Intervention costs are randomly selected from the set {1, 2, 3, 4}. Performance metrics include runtime across multiple trials and normalized regret. The scale of the dataset is determined by the variable number of vertices (n), and the task is to identify the minimum-cost intervention set within the causal graphs.
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