【2019/ICML】DAG-GNN: DAG Structure Learning with Graph Neural Networks

原文链接：https://dreamhomes.github.io/posts/202101041501.html

文章链接：https://arxiv.org/abs/1904.10098
源码链接：https://github.com/fishmoon1234/DAG-GNN

TL;DR

论文中提出一种新的DAG编码架构 DAG-GNN，其实模型的本质就是一个图变分自编码器，模型的优点是既能处理连续型变量又能处理离散型变量；在人工数据集和真实数据集中验证了模型结果可以达到全局最优

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【2019/ICML】DAG-GNN: DAG Structure Learning with Graph Neural Networks

TL;DR

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