To support intelligent computer-aided design (CAD), we introduce a machine learning architecture, namely HG-CAD, that recommends assembly body material through joint learning of body and assembly-level features using a hierarchical graph representation.
We introduce a machine learning architecture, namely HG-CAD, that recommends assembly body material through joint learning of body- and assembly-level features.
May 2, 2024 · We review prior work on material selection, machine learning algorithms based on deep neural networks, and representation methods tailored to ...
Oct 22, 2024 · To enable intelligent CAD design tools, we introduce a machine learning architecture, namely HG-CAD, that supports the automated material ...
Abstract To support intelligent computer-aided design (CAD), we introduce a machine learning architecture, namely HG-CAD, that recommends assembly body ...
HG-CAD: hierarchical graph learning for material prediction and recommendation in computer-aided design. S Bian, D Grandi, T Liu, PK Jayaraman, K Willis, E ...
Mar 22, 2022 · The model can capture global-level affinity relationships and local-level chemical structures involving drug/target molecules synergistically, ...
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HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in Computer-Aided Design · Shijie Bian, Daniele Grandi ...
To enable intelligent CAD design tools, we introduce a machine learning architecture, namely HG-CAD, that supports the automated material prediction and ...
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