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Autor:
Sirico Jr., Anthony, Herber, Daniel R
In this paper, we present Iterative Classification of Graph-Set-Based Design (IC-GSBD), a framework utilizing graph-based techniques with geometric deep learning (GDL) integrated within a set-based design (SBD) approach for the classification and dow
Externí odkaz:
http://arxiv.org/abs/2312.03270
Autor:
Sirico Jr., Anthony, Herber, Daniel R.
Many complex engineering systems can be represented in a topological form, such as graphs. This paper utilizes a machine learning technique called Geometric Deep Learning (GDL) to aid designers with challenging, graph-centric design problems. The str
Externí odkaz:
http://arxiv.org/abs/2303.09770
Akademický článek
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Autor:
Sirico Jr., Anthony, Herber, Daniel R.
Many complex engineering systems can be represented in a topological form, such as graphs. This paper utilizes a machine learning technique called Geometric Deep Learning (GDL) to aid designers with challenging, graph-centric design problems. The str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c06bfef774928c52e7d5edfc86e49311