Erdős–Rényi Graphs
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/CausalAILab/lges
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资源简介:
该数据集是由埃尔德什-雷尼模型生成的合成数据,设定了特定的变量数量和边数。数据包含了具有特定权重分布和噪声方差的线性高斯样本。规模上,图表的变量数量可达500个,边数则各不相同。该数据集的任务是进行因果发现。
This dataset comprises synthetic data generated via the Erdős–Rényi model, with predefined numbers of variables and edges. It contains linear Gaussian samples with specific weight distributions and noise variances. In terms of scale, the underlying graph can have up to 500 variables, while the number of edges varies across different samples. The task of this dataset is causal discovery.
提供机构:
CausalAILab



