Random DAGs Simulation Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/WY-Chen/EqVarDAG/blob/master/R/EqVarDAG_HD_TD.R
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资源简介：
该数据集是由在受控条件下生成的随机有向无环图（DAGs）构成的，其中父节点的数量是固定的，且噪声方差相等。数据集包含了各种节点配置和入度设置。实验在不同节点数和入度设置下进行，每种配置均进行了100次重复。节点数量从20到90不等，样本量从80到560，入度配置也各有不同。该数据集的任务是学习高斯DAG的结构。
This dataset consists of randomly generated directed acyclic graphs (DAGs) under controlled conditions, where the number of parent nodes is fixed and the noise variances are equal. The dataset covers various node configurations and in-degree settings. Experiments were conducted under different node counts and in-degree settings, with each configuration repeated 100 times. The number of nodes ranges from 20 to 90, the sample size ranges from 80 to 560, and the in-degree configurations vary. The task of this dataset is to learn the structure of Gaussian DAGs.
