Oct. 3, 2022, 1:12 a.m. | Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen

cs.LG updates on arXiv.org arxiv.org

Optimization of directed acyclic graph (DAG) structures has many
applications, such as neural architecture search (NAS) and probabilistic
graphical model learning. Encoding DAGs into real vectors is a dominant
component in most neural-network-based DAG optimization frameworks. Currently,
most DAG encoders use an asynchronous message passing scheme which sequentially
processes nodes according to the dependency between nodes in a DAG. That is, a
node must not be processed until all its predecessors are processed. As a
result, they are inherently not …

arxiv computation encoder graphs

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